{"product_id":"cost-segregation-owner-makes","title":"How Much Can A Cost Segregation Study Service Owner Make? $175k+","description":"\u003cbr\u003e\u003cdiv class=\"card_smpl\"\u003e\n\u003cp\u003eIn the researched model, the owner role carries a \u003cstrong\u003e$175,000 Principal Tax Strategist salary\u003c\/strong\u003e, but distributions depend on profit, cash, taxes, debt, and reserves Revenue grows from \u003cstrong\u003e$1044 million in Year 1\u003c\/strong\u003e to \u003cstrong\u003e$5386 million in Year 5\u003c\/strong\u003e, while EBITDA moves from \u003cstrong\u003e-$12,000\u003c\/strong\u003e to \u003cstrong\u003e$2121 million\u003c\/strong\u003e The business breaks even in \u003cstrong\u003eMonth 7\u003c\/strong\u003e and pays back in \u003cstrong\u003e20 months\u003c\/strong\u003e Treat owner take-home as salary plus only the profit the firm can safely distribute after keeping enough cash in the business\u003c\/p\u003e\n\n\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003csection class=\"fml-owner-metric-cards\" aria-label=\"Cost segregation study service\"\u003e\u003cdiv class=\"metric-grid\"\u003e\n\u003carticle class=\"metric-card is-green\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Annual base pay is the $175k principal salary; distributable EBITDA can add more after reserves, taxes, and debt, but it is not guaranteed compensation.\"\u003e\u003cimg class=\"metric-icon\" src=\"\/cdn\/shop\/files\/fml-owner-income-kpi-owner-income.svg\" alt=\"Owner income icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003eOwner income\u003c\/span\u003e\u003cstrong class=\"metric-value\" tabindex=\"0\" data-tooltip=\"Annual base pay is the $175k principal salary; distributable EBITDA can add more after reserves, taxes, and debt, but it is not guaranteed compensation.\"\u003e$175k+\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"EBITDA margin proxy uses Year 1 and Year 5 model outputs; it measures operating profit before taxes, debt, and owner draws.\"\u003e\u003cimg class=\"metric-icon\" src=\"\/cdn\/shop\/files\/fml-owner-income-kpi-net-margin.svg\" alt=\"Net margin icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003eNet margin\u003c\/span\u003e\u003cstrong class=\"metric-value\" tabindex=\"0\" data-tooltip=\"EBITDA margin proxy uses Year 1 and Year 5 model outputs; it measures operating profit before taxes, debt, and owner draws.\"\u003e-1% to 39%\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Year 1 revenue is $1.044M; this is the closest model revenue level to the owner pay plan, not a direct formula.\"\u003e\u003cimg class=\"metric-icon\" src=\"\/cdn\/shop\/files\/fml-owner-income-kpi-revenue-target.svg\" alt=\"Revenue for target pay icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003eRevenue for target pay\u003c\/span\u003e\u003cstrong class=\"metric-value\" tabindex=\"0\" data-tooltip=\"Year 1 revenue is $1.044M; this is the closest model revenue level to the owner pay plan, not a direct formula.\"\u003e$1.04M\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Launch is capital heavy: $667k minimum cash, Month 7 breakeven, and growing staff and capex make execution harder.\"\u003e\u003cimg class=\"metric-icon\" src=\"\/cdn\/shop\/files\/fml-owner-income-kpi-business-difficulty.svg\" alt=\"Business difficulty icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003eBusiness difficulty\u003c\/span\u003e\u003cstrong class=\"metric-value\" tabindex=\"0\" data-tooltip=\"Launch is capital heavy: $667k minimum cash, Month 7 breakeven, and growing staff and capex make execution harder.\"\u003eHard\u003c\/strong\u003e\u003c\/article\u003e\n\u003c\/div\u003e\u003c\/section\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWant to test your owner pay target?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-owner-calculator\" aria-label=\"Owner Income Calculator for Cost Segregation Study Service\" data-locale=\"en-US\" data-currency=\"USD\" data-default-scenario=\"base\" data-export-filename=\"Owner Income Calculator for Cost Segregation Study Service.xlsx\" data-source-site-name=\"Financial Models Lab\" data-source-site-url=\"https:\/\/financialmodelslab.com\" data-source-page-title=\"Owner Income Calculator for Cost Segregation Study Service\" data-note-title=\"Planning note:\" data-note-text=\"Research-based planning estimate only. It is not guaranteed salary, tax advice, or owner distribution advice.\"\u003e\u003cdiv class=\"fml-owner-card\"\u003e\n\u003cheader class=\"fml-owner-header\"\u003e\u003cdiv class=\"fml-owner-heading\"\u003e\n\u003cp class=\"fml-owner-eyebrow\"\u003eOwner income calculator\u003c\/p\u003e\n\u003cp class=\"fml-owner-intro\"\u003eEstimate owner take-home and the target-pay gap from revenue, margin, costs, reserves, and target pay.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-scenarios\" aria-label=\"Income scenario presets\"\u003e\n\u003cbutton class=\"fml-owner-scenario\" type=\"button\" data-scenario=\"low\"\u003eLow\u003c\/button\u003e\u003cbutton class=\"fml-owner-scenario is-active\" type=\"button\" data-scenario=\"base\"\u003eBase\u003c\/button\u003e\u003cbutton class=\"fml-owner-scenario\" type=\"button\" data-scenario=\"high\"\u003eHigh\u003c\/button\u003e\n\u003c\/div\u003e\u003c\/header\u003e\u003cdiv class=\"fml-owner-layout\"\u003e\n\u003cform class=\"fml-owner-inputs\"\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eMonthly revenue\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Average collected revenue in a normal operating month before expenses. Use a steady month, not a one-time peak.\"\u003ei\u003cspan role=\"tooltip\"\u003eAverage collected revenue in a normal operating month before expenses. Use a steady month, not a one-time peak.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"monthlyRevenue\" data-owner-kind=\"money\" data-owner-label=\"Monthly revenue\" data-owner-note=\"Average collected revenue in a normal operating month before expenses. Use a steady month, not a one-time peak.\" data-low=\"87000\" data-base=\"245417\" data-high=\"448833\" name=\"monthlyRevenue\" type=\"text\" inputmode=\"numeric\" value=\"245,417\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eGross margin\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Percent left after direct delivery costs like site travel, software, referral fees, and research materials.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent left after direct delivery costs like site travel, software, referral fees, and research materials.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-percent\"\u003e\n\u003cinput data-owner-field=\"grossMargin\" data-owner-kind=\"percent\" data-owner-label=\"Gross margin\" data-owner-note=\"Percent left after direct delivery costs like site travel, software, referral fees, and research materials.\" name=\"grossMargin\" type=\"range\" min=\"0\" max=\"100\" step=\"1\" data-low=\"74\" data-base=\"77\" data-high=\"80\" value=\"77\"\u003e\u003coutput\u003e77%\u003c\/output\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eLabor cost\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly payroll and contractor cost before owner pay.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly payroll and contractor cost before owner pay.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"laborCost\" data-owner-kind=\"money\" data-owner-label=\"Labor cost\" data-owner-note=\"Monthly payroll and contractor cost before owner pay.\" data-low=\"44167\" data-base=\"76042\" data-high=\"124583\" name=\"laborCost\" type=\"text\" inputmode=\"numeric\" value=\"76,042\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eFixed overhead\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Recurring rent, insurance, software, legal, utilities, and admin overhead. The model points to about $11k per month.\"\u003ei\u003cspan role=\"tooltip\"\u003eRecurring rent, insurance, software, legal, utilities, and admin overhead. The model points to about $11k per month.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"fixedOverhead\" data-owner-kind=\"money\" data-owner-label=\"Fixed overhead\" data-owner-note=\"Recurring rent, insurance, software, legal, utilities, and admin overhead. The model points to about $11k per month.\" data-low=\"11000\" data-base=\"11000\" data-high=\"11000\" name=\"fixedOverhead\" type=\"text\" inputmode=\"numeric\" value=\"11,000\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eMarketing\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly marketing and referral spend. The model runs from $45k in Year 1 to $140k in Year 5.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly marketing and referral spend. The model runs from $45k in Year 1 to $140k in Year 5.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"marketing\" data-owner-kind=\"money\" data-owner-label=\"Marketing\" data-owner-note=\"Monthly marketing and referral spend. The model runs from $45k in Year 1 to $140k in Year 5.\" data-low=\"3750\" data-base=\"7083\" data-high=\"11667\" name=\"marketing\" type=\"text\" inputmode=\"numeric\" value=\"7,083\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eDebt service\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly loan or financing payment. Use 0 if you are not using debt.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly loan or financing payment. Use 0 if you are not using debt.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"debtService\" data-owner-kind=\"money\" data-owner-label=\"Debt service\" data-owner-note=\"Monthly loan or financing payment. Use 0 if you are not using debt.\" data-low=\"0\" data-base=\"0\" data-high=\"0\" name=\"debtService\" type=\"text\" inputmode=\"numeric\" value=\"\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eTax reserve\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Percent of profit held back for taxes before owner pay.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent of profit held back for taxes before owner pay.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-percent\"\u003e\n\u003cinput data-owner-field=\"taxReserve\" data-owner-kind=\"percent\" data-owner-label=\"Tax reserve\" data-owner-note=\"Percent of profit held back for taxes before owner pay.\" name=\"taxReserve\" type=\"range\" min=\"0\" max=\"50\" step=\"1\" data-low=\"18\" data-base=\"20\" data-high=\"22\" value=\"20\"\u003e\u003coutput\u003e20%\u003c\/output\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eReinvestment reserve\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Percent of profit kept for growth, working capital, and risk buffer.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent of profit kept for growth, working capital, and risk buffer.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-percent\"\u003e\n\u003cinput data-owner-field=\"reinvestmentReserve\" data-owner-kind=\"percent\" data-owner-label=\"Reinvestment reserve\" data-owner-note=\"Percent of profit kept for growth, working capital, and risk buffer.\" name=\"reinvestmentReserve\" type=\"range\" min=\"0\" max=\"35\" step=\"1\" data-low=\"5\" data-base=\"8\" data-high=\"10\" value=\"8\"\u003e\u003coutput\u003e8%\u003c\/output\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eTarget owner pay\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly owner pay goal used to calculate the target-pay gap.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly owner pay goal used to calculate the target-pay gap.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"targetOwnerPay\" data-owner-kind=\"money\" data-owner-label=\"Target owner pay\" data-owner-note=\"Monthly owner pay goal used to calculate the target-pay gap.\" data-low=\"10000\" data-base=\"15000\" data-high=\"25000\" name=\"targetOwnerPay\" type=\"text\" inputmode=\"numeric\" value=\"15,000\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/form\u003e\n\u003caside class=\"fml-owner-results\" aria-live=\"polite\"\u003e\u003cspan class=\"fml-owner-tag\"\u003eOwner income output\u003c\/span\u003e\u003cdiv class=\"fml-owner-metrics\"\u003e\n\u003cdiv class=\"fml-owner-metric is-primary\"\u003e\n\u003cspan class=\"fml-owner-metric-label\"\u003eOwner Income\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly take-home after tax and reinvestment reserves.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly take-home after tax and reinvestment reserves.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong data-owner-output=\"monthlyOwnerIncome\"\u003e$68,289\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-metric\"\u003e\n\u003cspan class=\"fml-owner-metric-label\"\u003eNet Margin\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Owner income divided by monthly revenue.\"\u003ei\u003cspan role=\"tooltip\"\u003eOwner income divided by monthly revenue.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong data-owner-output=\"netProfitMargin\"\u003e28%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-metric\"\u003e\n\u003cspan class=\"fml-owner-metric-label\"\u003eRevenue for Target Pay\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly revenue needed to support the target owner pay.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly revenue needed to support the target owner pay.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong data-owner-output=\"revenueNeeded\"\u003e$149K\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-metric is-target-gap is-positive\"\u003e\n\u003cspan class=\"fml-owner-metric-label\"\u003eTarget Pay Gap\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Owner income minus target owner pay. Negative means the target pay is not covered.\"\u003ei\u003cspan role=\"tooltip\"\u003eOwner income minus target owner pay. Negative means the target pay is not covered.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong data-owner-output=\"targetPayGap\"\u003e$53,289\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdl class=\"fml-owner-result-list\"\u003e\n\u003cdiv\u003e\n\u003cdt\u003eAnnual owner income\u003c\/dt\u003e\n\u003cdd data-owner-output=\"annualOwnerIncome\"\u003e$819,469\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdt\u003eProfit before reserves\u003c\/dt\u003e\n\u003cdd data-owner-output=\"profitBeforeReserves\"\u003e$94,846\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdt\u003eTax + reinvestment reserve\u003c\/dt\u003e\n\u003cdd data-owner-output=\"reserveAmount\"\u003e$26,557\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdt\u003eTarget pay gap\u003c\/dt\u003e\n\u003cdd data-owner-output=\"cashAfterTargetPay\"\u003e$53,289\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\n\u003cdiv class=\"fml-owner-bridge\"\u003e\n\u003cdiv class=\"fml-owner-bar-row\" data-owner-bridge=\"revenue\"\u003e\n\u003cspan\u003eRevenue\u003c\/span\u003e\u003cdiv\u003e\u003ci style=\"--fml-owner-share: 100%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$245K\u003c\/b\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-bar-row\" data-owner-bridge=\"grossProfit\"\u003e\n\u003cspan\u003eGross profit\u003c\/span\u003e\u003cdiv\u003e\u003ci style=\"--fml-owner-share: 77%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$189K\u003c\/b\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-bar-row\" data-owner-bridge=\"operatingCosts\"\u003e\n\u003cspan\u003eOperating costs\u003c\/span\u003e\u003cdiv\u003e\u003ci style=\"--fml-owner-share: 38%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$94,125\u003c\/b\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-bar-row\" data-owner-bridge=\"reserveAmount\"\u003e\n\u003cspan\u003eReserves\u003c\/span\u003e\u003cdiv\u003e\u003ci style=\"--fml-owner-share: 11%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$26,557\u003c\/b\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-bar-row\" data-owner-bridge=\"ownerIncome\"\u003e\n\u003cspan\u003eOwner income\u003c\/span\u003e\u003cdiv\u003e\u003ci style=\"--fml-owner-share: 28%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$68,289\u003c\/b\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"fml-owner-export\" type=\"button\" data-owner-export\u003eEXPORT XLSX\u003c\/button\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-note\"\u003e\n\u003cspan class=\"fml-owner-note-icon\" aria-hidden=\"true\"\u003e!\u003c\/span\u003e\u003cp\u003e\u003cstrong\u003ePlanning note:\u003c\/strong\u003e Research-based planning estimate only. It is not guaranteed salary, tax advice, or owner distribution advice.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\u003cbr\u003e\u003cdiv class=\"container_new_design_blog\"\u003e\n\n\u003cdiv class=\"text-section_blog text-2_new_design_blog\"\u003e\n\n\u003cdiv class=\"line_top_blog\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eWant the owner-income math behind the model?\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003cp\u003eThis screenshot shows dashboard outputs, revenue, margin, costs, reserves, and \u003cstrong\u003eowner take-home\u003c\/strong\u003e assumptions as a planning bridge; open the \u003ca href=\"\/products\/cost-segregation-financial-model\"\u003eCost Segregation Study Service Financial Model Template\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003ch4\u003eOwner-income model highlights\u003c\/h4\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eOwner pay; cash need\u003c\/li\u003e\n\u003cli\u003eRevenue: $1,044M to $5,386M\u003c\/li\u003e\n\u003cli\u003eEBITDA: -$12k to $2,121M\u003c\/li\u003e\n\u003cli\u003eMonth 7 break-even, 20-month payback\u003c\/li\u003e\n\u003cli\u003eLow\/base\/high cases tested\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n\n\u003cdiv class=\"image-section_blog image-2_new_design_blog\"\u003e\n\n\u003cdiv class=\"preview-card\" data-preview-src=\"\/cdn\/shop\/files\/cost-segregation-financial-model-dashboard-financialmodelslab_0e25e2c5-cb85-4e10-81ae-65869b2b37ff.webp\"\u003e\n\u003cimg class=\"preview-img\" width=\"100%\" height=\"auto\" src=\"\/cdn\/shop\/files\/cost-segregation-financial-model-dashboard-financialmodelslab_0e25e2c5-cb85-4e10-81ae-65869b2b37ff.webp?width=500\" alt=\"Cost Segregation Study Service Financial Model dashboard summarizing key KPIs, runway, cash position and performance with dynamic charts and investor-ready metrics to spot cash-flow blind spots.\"\u003e\n\u003cdiv class=\"preview-overlay\"\u003e\n\u003cbutton class=\"preview-btn\" type=\"button\" style=\"align-items: center; vertical-align: middle; display: inline-flex; justify-content: center; gap: 6px; line-height: 1;\"\u003e\nPREVIEW \u003csvg fill=\"#fff\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\" role=\"presentation\" viewbox=\"0 0 448 512\" width=\"14\"\u003e\u003cpath d=\"M416 176V86.63L246.6 256L416 425.4V336c0-8.844 7.156-16 16-16s16 7.156 16 16v128c0 8.844-7.156 16-16 16h-128c-8.844 0-16-7.156-16-16s7.156-16 16-16h89.38L224 278.6L54.63 448H144C152.8 448 160 455.2 160 464S152.8 480 144 480h-128C7.156 480 0 472.8 0 464v-128C0 327.2 7.156 320 16 320S32 327.2 32 336v89.38L201.4 256L32 86.63V176C32 184.8 24.84 192 16 192S0 184.8 0 176v-128C0 39.16 7.156 32 16 32h128C152.8 32 160 39.16 160 48S152.8 64 144 64H54.63L224 233.4L393.4 64H304C295.2 64 288 56.84 288 48S295.2 32 304 32h128C440.8 32 448 39.16 448 48v128C448 184.8 440.8 192 432 192S416 184.8 416 176z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\n\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow much can a cost segregation consultant make?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eA Cost Segregation Study Service consultant’s income depends on capacity, role, and team model; \u003ca href=\"\/blogs\/kpi-metrics\/cost-segregation\"\u003eWhat Are The 5 KPI Metrics For Cost Segregation Study Service Business?\u003c\/a\u003e helps separate billings from owner cash. In the provided small-team model, payroll is \u003cstrong\u003e$530k\u003c\/strong\u003e, owner salary is \u003cstrong\u003e$175k\u003c\/strong\u003e, and EBITDA is \u003cstrong\u003e-$12k\u003c\/strong\u003e, so revenue doesn’t equal spendable income.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eIncome Drivers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eSeparate \u003cstrong\u003ebillings\u003c\/strong\u003e from owner take-home\u003c\/li\u003e\n\u003cli\u003eSolo income is capped by study capacity\u003c\/li\u003e\n\u003cli\u003eReview quality limits safe volume\u003c\/li\u003e\n\u003cli\u003eOwner role changes cash outcome\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eScale Case\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eYear 1 payroll: \u003cstrong\u003e$530k\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eOwner salary: \u003cstrong\u003e$175k\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eYear 1 EBITDA: \u003cstrong\u003e-$12k\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eYear 5 model: \u003cstrong\u003e$5.386M\u003c\/strong\u003e revenue, \u003cstrong\u003e$2.121M\u003c\/strong\u003e EBITDA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhat is the cost segregation consulting profit margin?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eIf you're pricing a \u003cstrong\u003eCost Segregation Study Service\u003c\/strong\u003e, use \u003cstrong\u003eEBITDA margin\u003c\/strong\u003e as the planning proxy: the model is \u003cstrong\u003e-11%\u003c\/strong\u003e in Year 1, then \u003cstrong\u003e254%\u003c\/strong\u003e in Year 2, \u003cstrong\u003e322%\u003c\/strong\u003e in Year 3, \u003cstrong\u003e361%\u003c\/strong\u003e in Year 4, and \u003cstrong\u003e394%\u003c\/strong\u003e in Year 5. For the cost lines behind that, see \u003ca href=\"\/blogs\/operating-costs\/cost-segregation\"\u003eWhat Are Operating Costs For Cost Segregation Study Service?\u003c\/a\u003e Audit support and quality review cut into take-home, but they protect delivery quality.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eMargin drivers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eSite travel\u003c\/strong\u003e drops from \u003cstrong\u003e85%\u003c\/strong\u003e to \u003cstrong\u003e65%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDatabase subscriptions\u003c\/strong\u003e fall from \u003cstrong\u003e40%\u003c\/strong\u003e to \u003cstrong\u003e20%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReferral commissions\u003c\/strong\u003e stay at \u003cstrong\u003e100%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTax research\u003c\/strong\u003e moves from \u003cstrong\u003e30%\u003c\/strong\u003e to \u003cstrong\u003e10%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eScale effects\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eFixed overhead\u003c\/strong\u003e stays at \u003cstrong\u003e$132k\u003c\/strong\u003e a year.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayroll\u003c\/strong\u003e rises from \u003cstrong\u003e$530k\u003c\/strong\u003e to \u003cstrong\u003e$1495M\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAudit support\u003c\/strong\u003e lowers take-home margin.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuality review\u003c\/strong\u003e protects delivery quality.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow many cost segregation studies per month are needed?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eIf your studies are being sold and collected at the modeled fee, the \u003cstrong\u003eCost Segregation Study Service\u003c\/strong\u003e needs about \u003cstrong\u003e9\u003c\/strong\u003e completed and collected studies per month in Year 1, rising to \u003cstrong\u003e18\u003c\/strong\u003e in Year 2, \u003cstrong\u003e24\u003c\/strong\u003e in Year 3, \u003cstrong\u003e32\u003c\/strong\u003e in Year 4, and \u003cstrong\u003e40\u003c\/strong\u003e in Year 5. Here’s the quick math: the average fee is modeled at \u003cstrong\u003e$7,875\u003c\/strong\u003e in Year 1 from \u003cstrong\u003e35 hours × $225\u003c\/strong\u003e, and \u003cstrong\u003e$8,370\u003c\/strong\u003e in Year 5 from \u003cstrong\u003e31 hours × $270\u003c\/strong\u003e. \u003cstrong\u003eCollection rate should be editable\u003c\/strong\u003e, because uncollected work cuts the monthly study count fast.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eYear 1 volume\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e9\u003c\/strong\u003e studies per month\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$7,875\u003c\/strong\u003e average fee\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e35\u003c\/strong\u003e hours per study\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$225\u003c\/strong\u003e hourly value\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eYear 5 volume\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e40\u003c\/strong\u003e studies per month\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$8,370\u003c\/strong\u003e average fee\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e31\u003c\/strong\u003e hours per study\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$270\u003c\/strong\u003e hourly value\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003ePricing drivers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eLarger properties can support higher fees\u003c\/li\u003e\n\u003cli\u003eEngineering review takes more time\u003c\/li\u003e\n\u003cli\u003eSite work adds labor hours\u003c\/li\u003e\n\u003cli\u003eAudit support must be ready\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eVolume drivers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eRevenue mix sets monthly count\u003c\/li\u003e\n\u003cli\u003eCompleted studies must be collected\u003c\/li\u003e\n\u003cli\u003eEditable collection rate matters\u003c\/li\u003e\n\u003cli\u003eTarget owner pay ties to cash received\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWant the six drivers that move owner take-home?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-main-income-drivers\" aria-label=\"Main income drivers for a cost segregation study service.\"\u003e\u003carticle class=\"driver-option is-cards\"\u003e\u003cdiv class=\"main-driver-grid\"\u003e\n\u003carticle class=\"main-driver-card is-primary\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e1\u003c\/span\u003e\u003ch4\u003eStudy Volume\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e9-40\/mo\u003c\/strong\u003e\u003cp\u003eMore completed studies drives most revenue, so moving from 9 to 40 a month changes owner income fast.\u003c\/p\u003e\u003c\/article\u003e\u003carticle class=\"main-driver-card\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e2\u003c\/span\u003e\u003ch4\u003eStudy Fee\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$7.9K-$8.4K\u003c\/strong\u003e\u003cp\u003eA small lift in modeled fee per study compounds across every close and lifts margin.\u003c\/p\u003e\u003c\/article\u003e\u003carticle class=\"main-driver-card\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e3\u003c\/span\u003e\u003ch4\u003eReferral Mix\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e100%\u003c\/strong\u003e\u003cp\u003eIf the pipeline leans on referral partners, commission drag cuts take-home on every win.\u003c\/p\u003e\u003c\/article\u003e\u003carticle class=\"main-driver-card\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e4\u003c\/span\u003e\u003ch4\u003eLabor Scale\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$530K-$1.50M\u003c\/strong\u003e\u003cp\u003ePayroll growth from about $530K to $1.50M means utilization has to stay tight or EBITDA slips.\u003c\/p\u003e\u003c\/article\u003e\u003carticle class=\"main-driver-card\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e5\u003c\/span\u003e\u003ch4\u003eReview Load\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e12 hrs\u003c\/strong\u003e\u003cp\u003eAudit review work adds 12 hours, so heavier quality checks can choke throughput and raise labor cost.\u003c\/p\u003e\u003c\/article\u003e\u003carticle class=\"main-driver-card\"\u003e\u003cdiv class=\"main-driver-heading\"\u003e\n\u003cspan class=\"driver-rank\"\u003e6\u003c\/span\u003e\u003ch4\u003eCash Floor\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$667K\u003c\/strong\u003e\u003cp\u003eA $132K fixed overhead base and a $667K minimum cash need limit owner draws until collections stabilize.\u003c\/p\u003e\u003c\/article\u003e\n\u003c\/div\u003e\u003c\/article\u003e\u003c\/section\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eCost Segregation Study Service Core Six Income Drivers\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eCompleted study volume\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"left-row1\"\u003e\n    \u003ch3\u003eCompleted study volume\u003c\/h3\u003e\n    \u003cp\u003eCompleted study volume is the main revenue engine here. At \u003cstrong\u003e9 studies per month\u003c\/strong\u003e in Year 1 and \u003cstrong\u003e40 per month\u003c\/strong\u003e in Year 5, annual collected revenue scales fast: about \u003cstrong\u003e$850,500\u003c\/strong\u003e in Year 1 (\u003cstrong\u003e108 × $7,875\u003c\/strong\u003e) and \u003cstrong\u003e$4,017,600\u003c\/strong\u003e in Year 5 (\u003cstrong\u003e480 × $8,370\u003c\/strong\u003e), assuming the studies are completed and billed as planned.\u003c\/p\u003e\n    \u003cp\u003eThe catch is capacity. Volume only improves owner income if senior engineers, junior estimators, coordinators, and review time can keep turnaround clean. If sales outpace delivery, you get rework, slower cash collection, and weaker profit. \u003cstrong\u003eMore volume helps only when quality and timing hold.\u003c\/strong\u003e\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row1\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eManage throughput, not just sales\u003c\/h3\u003e\n      \u003cp\u003eTrack completed studies per month, average turnaround time, and review hours per file. Those are the inputs that show whether volume is real or just backlog. If the team is near capacity, add staff or cap new work before report quality slips, because low-quality work can delay payment and hurt owner draw.\u003c\/p\u003e\n      \u003cp\u003eUse a simple rule: only sell what the team can finish cleanly. Measure \u003cstrong\u003estudies completed ÷ studies sold\u003c\/strong\u003e, then compare that to labor load and review time. If volume rises but rework also rises, margin falls and cash gets tighter even when top-line revenue looks stronger.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack completed studies monthly.\u003c\/li\u003e\n        \u003cli\u003eWatch turnaround time closely.\u003c\/li\u003e\n        \u003cli\u003eLimit work at capacity.\u003c\/li\u003e\n        \u003cli\u003eProtect review time and quality.\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step1\"\u003e1\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eAverage study fee\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"right-row2\"\u003e\n    \u003ch3\u003eAverage study fee\u003c\/h3\u003e\n    \u003cp\u003eThe fee per study is the main revenue lever because every closed project is billed once. The model shows \u003cstrong\u003e$7,875\u003c\/strong\u003e in Year 1 from \u003cstrong\u003e35 hours × $225\u003c\/strong\u003e and \u003cstrong\u003e$8,370\u003c\/strong\u003e in Year 5 from \u003cstrong\u003e31 hours × $270\u003c\/strong\u003e. That is only a \u003cstrong\u003e6.3%\u003c\/strong\u003e fee lift, so profit improves most when price rises faster than production time.\u003c\/p\u003e\n    \u003cp\u003eInputs are property size, documentation needs, site review time, and report complexity. The owner’s take-home income rises when the fee covers analyst hours, review time, and overhead on each study. If a large or messy property gets priced like a simple one, revenue looks fine but cash flow and profit fall after rework and extra review.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"left-row2\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003ePrice by complexity, not guesswork\u003c\/h3\u003e\n      \u003cp\u003eTrack \u003cstrong\u003efee per study\u003c\/strong\u003e, \u003cstrong\u003ehours per study\u003c\/strong\u003e, and \u003cstrong\u003efee per hour\u003c\/strong\u003e on every job. If \u003cstrong\u003e31-hour\u003c\/strong\u003e projects still command \u003cstrong\u003e$8,370\u003c\/strong\u003e, the implied rate is \u003cstrong\u003e$270\/hour\u003c\/strong\u003e; if hours drift back toward \u003cstrong\u003e35\u003c\/strong\u003e without a higher fee, margin slips. Use clear pricing tiers for property size, missing records, and site visits.\u003c\/p\u003e\n      \u003cp\u003eTest add-ons for messy files and complex assets, then review them monthly against realized hours. The goal is simple: raise price faster than production time. That keeps more gross profit in the business and leaves more room for owner pay after labor and fixed costs.\u003c\/p\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step2\"\u003e2\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eReferral partners and lead generation\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"left-row3\"\u003e\n    \u003ch3\u003eReferral Lead Cost\u003c\/h3\u003e\n    \u003cp\u003eThis driver is about what it costs to turn a referral or click into a paying study. The model shows marketing spend rising from \u003cstrong\u003e$45k\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e$140k\u003c\/strong\u003e in Year 5, while CAC drops from \u003cstrong\u003e$1,800\u003c\/strong\u003e to \u003cstrong\u003e$1,600\u003c\/strong\u003e. If acquisition cost rises faster than fee growth, owner pay gets squeezed even when bookings increase.\u003c\/p\u003e\n    \u003cp\u003eThe big risk is partner economics: referral partner commissions are modeled at \u003cstrong\u003e100% of revenue\u003c\/strong\u003e each year. That means cheap leads are not enough if they do not close and collect. For this service, lead quality matters more than lead count, because weak-fit property owners can burn cash and still leave little profit for the owner.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row3\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eTrack CPA and Close Rate\u003c\/h3\u003e\n      \u003cp\u003eMeasure lead source, \u003cstrong\u003eCPA\u003c\/strong\u003e (cost per acquisition), close rate, collect rate, and fee by partner. Use marketing spend, referral commissions, study fee, and source mix to estimate income. Real estate investor referrals and other high-fit partners can lift conversion, but only if the deal closes and the invoice gets paid.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eMarketing spend by source\u003c\/li\u003e\n        \u003cli\u003eReferral commission per deal\u003c\/li\u003e\n        \u003cli\u003eCost per acquired client\u003c\/li\u003e\n        \u003cli\u003eClose rate by partner\u003c\/li\u003e\n        \u003cli\u003eCollect rate after invoicing\u003c\/li\u003e\n      \u003c\/ul\u003e\n      \u003cp\u003eSet a hard floor for each channel. If a source brings low-cost leads but they do not close, the cash return is weak and owner distributions stay smaller. Keep the channels that produce paid studies at a margin that can cover payroll, overhead, and the owner’s draw.\u003c\/p\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step3\"\u003e3\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eProduction labor efficiency\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"right-row4\"\u003e\n    \u003ch3\u003eProduction labor efficiency\u003c\/h3\u003e\n    \u003cp\u003eThis driver is about how many \u003cstrong\u003ebillable hours\u003c\/strong\u003e it takes to finish one study, and how much of payroll turns into client work. When labor is tight, fewer hours per study means more capacity from the same team, faster cash collection, and better \u003cstrong\u003eEBITDA\u003c\/strong\u003e (earnings before interest, taxes, depreciation, and amortization) because payroll is the biggest scaling cost.\u003c\/p\u003e\n    \u003cp\u003eThe model shows payroll rising from \u003cstrong\u003e$530k\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e$1.495M\u003c\/strong\u003e in Year 5, while study effort improves from \u003cstrong\u003e35\u003c\/strong\u003e to \u003cstrong\u003e31 hours\u003c\/strong\u003e per study and hourly pricing moves from \u003cstrong\u003e$225\u003c\/strong\u003e to \u003cstrong\u003e$270\u003c\/strong\u003e. The risk is cutting review too far and weakening \u003cstrong\u003eaudit support\u003c\/strong\u003e, which can create rework and hurt the owner’s take-home pay.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"left-row4\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eTrack hours, not just output\u003c\/h3\u003e\n      \u003cp\u003eMeasure \u003cstrong\u003eutilization\u003c\/strong\u003e (paid time spent on billable work), hours per study, and rework by analyst, engineer, and reviewer. The goal is simple: keep turnaround tight without weakening documentation. If a faster process creates even a small audit gap, you can lose time, margin, and collections later.\u003c\/p\u003e\n      \u003cp\u003eUse a clean review gate, then test where hours can drop safely. Track these inputs:\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003e\u003cstrong\u003eHours per study\u003c\/strong\u003e\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eRework rate\u003c\/strong\u003e by reviewer\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eUtilization\u003c\/strong\u003e by role\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eAudit-support\u003c\/strong\u003e touchpoints\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step4\"\u003e4\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eFixed overhead and professional costs\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"left-row5\"\u003e\n    \u003ch3\u003eFixed overhead and professional costs\u003c\/h3\u003e\n    \u003cp\u003eThe business starts each month with\n\u003cstrong\u003e$11k\u003c\/strong\u003e of fixed costs before any study revenue comes in, or \u003cstrong\u003e$132k\u003c\/strong\u003e a year. That bucket includes the lease, liability insurance, cloud CRM and ERP maintenance, legal and compliance, utilities, and admin supplies, so owner pay only starts after collected fees clear that base.\u003c\/p\u003e\n    \u003cp\u003eThe cash drag is bigger when you include \u003cstrong\u003e$1.435M\u003c\/strong\u003e of capex for laptops, measurement gear, furniture, software build, infrastructure, web work, and security. If volume is still thin, that spend ties up cash early and leaves less room for distributions, even when the work pipeline looks active.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row5\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eKeep fixed spend tied to booked work\u003c\/h3\u003e\n      \u003cp\u003eTrack monthly fixed burn, cash collected, and the number of studies needed to cover \u003cstrong\u003e$11k\u003c\/strong\u003e. Split costs into fixed and variable lines, then watch lease, software, legal, and admin spend separately so you can see what really moves owner income.\u003c\/p\u003e\n      \u003cp\u003eOnly lock in new overhead when it clearly shortens turnaround, improves audit support, or lifts close rates. If a cost does not help more studies close or collect faster, it mostly delays profit draw and makes the business carry enterprise cost before recurring volume supports it.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack fixed burn every month.\u003c\/li\u003e\n        \u003cli\u003eSeparate fixed from variable spend.\u003c\/li\u003e\n        \u003cli\u003eTie new costs to booked studies.\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step5\"\u003e5\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eReserves and owner payout policy\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"right-row6\"\u003e\n    \u003ch3\u003eCash Reserves and Owner Pay\u003c\/h3\u003e\n    \u003cp\u003ePre-tax profit is not owner pay. This model needs a \u003cstrong\u003e$667k\u003c\/strong\u003e minimum cash balance in Month 6, breaks even in Month 7, and reaches payback in \u003cstrong\u003e20 months\u003c\/strong\u003e, so the owner can plan around a \u003cstrong\u003e$175k\u003c\/strong\u003e salary but should only take extra distributions when cash still covers payroll timing, marketing tests, audit support, tax payments, and growth hires.\u003c\/p\u003e\n    \u003cp\u003eInputs are ending cash, monthly payroll, tax accruals, marketing spend, and hiring plans. If reserves stay tight, near-term take-home drops; if they stay funded, the firm can keep scaling without forcing debt or a rushed owner draw. Cash discipline is the income driver here.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"left-row6\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eSet the reserve floor first\u003c\/h3\u003e\n      \u003cp\u003eTrack cash against the \u003cstrong\u003e$667k\u003c\/strong\u003e floor every month and treat \u003cstrong\u003e$175k\u003c\/strong\u003e as salary, not profit share. Hold distributions until the reserve covers at least one payroll cycle, planned marketing tests, tax payments, and the next hire. That keeps owner pay lower now, but it protects the cash needed to scale.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eWatch ending cash monthly.\u003c\/li\u003e\n        \u003cli\u003eTag payroll and tax dates.\u003c\/li\u003e\n        \u003cli\u003eApprove draws after reserve.\u003c\/li\u003e\n        \u003cli\u003eStress test Month 6 cash.\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"timeline\"\u003e\u003c\/div\u003e\n  \u003cdiv class=\"step-circle step6\"\u003e6\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eLow, base, and high owner income scenario objective\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-scenario-table\" aria-label=\"Cost Segregation Study Service Owner Income Scenarios\" data-site-name=\"Financial Models Lab\" data-site-url=\"https:\/\/financialmodelslab.com\" data-source-title=\"Cost Segregation Study Service Owner Income Scenarios\" data-note-label=\"Planning note\" data-note-text=\"These are researched planning assumptions, not guaranteed earnings, salary promises, tax advice, or distributions; actual owner take-home depends on salary, reserves, taxes, and debt.\"\u003e\u003cdiv class=\"fml-scenario-table-card\"\u003e\n\u003cheader class=\"fml-scenario-table-header\"\u003e\u003cdiv\u003e\n\u003cp class=\"fml-scenario-table-eyebrow\"\u003eOwner income scenarios\u003c\/p\u003e\n\u003cp class=\"fml-scenario-table-description\"\u003eOwner income changes fast because study volume, billing rate, and payroll move together. Year 1 is near break-even, while Year 3 and Year 5 can support a bigger draw.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-scenario-table-actions\"\u003e\u003cbutton class=\"fml-scenario-table-export\" type=\"button\" data-scenario-export\u003eEXPORT XLSX\u003c\/button\u003e\u003c\/div\u003e\u003c\/header\u003e\u003cdiv class=\"fml-scenario-table-wrap\"\u003e\u003ctable class=\"fml-scenario-table-grid\"\u003e\n\u003ccaption\u003eLow, base, and high cases show how volume and staffing change owner take-home.\u003c\/caption\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth class=\"fml-scenario-table-stub\" scope=\"col\" data-export-value=\"Scenario\"\u003eScenario\u003c\/th\u003e\n\u003cth class=\"fml-scenario-table-column\" scope=\"col\" data-export-value=\"Low Case\"\u003e\n\u003cspan class=\"fml-scenario-column-title\"\u003eLow Case\u003c\/span\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003eDownside case\u003c\/span\u003e\n\u003c\/th\u003e\n\u003cth class=\"fml-scenario-table-column\" scope=\"col\" data-export-value=\"Base Case\"\u003e\n\u003cspan class=\"fml-scenario-column-title\"\u003eBase Case\u003c\/span\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003ePlanning case\u003c\/span\u003e\n\u003c\/th\u003e\n\u003cth class=\"fml-scenario-table-column\" scope=\"col\" data-export-value=\"High Case\"\u003e\n\u003cspan class=\"fml-scenario-column-title\"\u003eHigh Case\u003c\/span\u003e\u003cspan class=\"fml-scenario-badge is-warning\"\u003eUpside case\u003c\/span\u003e\n\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr data-scenario-row\u003e\n\u003cth class=\"fml-scenario-row-heading\" scope=\"row\" data-export-value=\"Launch model\"\u003e\u003cspan class=\"fml-scenario-row-heading-inner\"\u003e\u003cspan class=\"fml-scenario-row-icon is-launch\" aria-hidden=\"true\"\u003e\u003cimg class=\"fml-scenario-row-icon-img\" src=\"\/cdn\/shop\/files\/scenario-launch-model.svg\" alt=\"Launch model icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"fml-scenario-row-title\"\u003eLaunch model\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd data-export-value=\"This is the lower owner-income path with Year 1 volume and near-break-even economics.\"\u003eThis is the lower owner-income path with Year 1 volume and near-break-even economics.\u003c\/td\u003e\n\u003ctd data-export-value=\"This is the modeled middle path with Year 3 volume, positive EBITDA, and a scaled team.\"\u003eThis is the modeled middle path with Year 3 volume, positive EBITDA, and a scaled team.\u003c\/td\u003e\n\u003ctd data-export-value=\"This is the stronger owner-income path with Year 5 volume, high EBITDA, and a larger delivery bench.\"\u003eThis is the stronger owner-income path with Year 5 volume, high EBITDA, and a larger delivery bench.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-scenario-row\u003e\n\u003cth class=\"fml-scenario-row-heading\" scope=\"row\" data-export-value=\"Typical setup\"\u003e\u003cspan class=\"fml-scenario-row-heading-inner\"\u003e\u003cspan class=\"fml-scenario-row-icon is-setup\" aria-hidden=\"true\"\u003e\u003cimg class=\"fml-scenario-row-icon-img\" src=\"\/cdn\/shop\/files\/scenario-typical-setup.svg\" alt=\"Typical setup icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"fml-scenario-row-title\"\u003eTypical setup\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd data-export-value=\"About 9 studies a month, $1.044M revenue, and -$12k EBITDA keep cash tight while payroll and marketing stay heavy.\"\u003eAbout 9 studies a month, $1.044M revenue, and -$12k EBITDA keep cash tight while payroll and marketing stay heavy.\u003c\/td\u003e\n\u003ctd data-export-value=\"About 24 studies a month, $2.945M revenue, and $947k EBITDA support salary plus a real profit draw.\"\u003eAbout 24 studies a month, $2.945M revenue, and $947k EBITDA support salary plus a real profit draw.\u003c\/td\u003e\n\u003ctd data-export-value=\"About 40 studies a month, $5.386M revenue, and $2.121M EBITDA support salary plus a larger distribution pool.\"\u003eAbout 40 studies a month, $5.386M revenue, and $2.121M EBITDA support salary plus a larger distribution pool.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-scenario-row\u003e\n\u003cth class=\"fml-scenario-row-heading\" scope=\"row\" data-export-value=\"Cost drivers\"\u003e\u003cspan class=\"fml-scenario-row-heading-inner\"\u003e\u003cspan class=\"fml-scenario-row-icon is-drivers\" aria-hidden=\"true\"\u003e\u003cimg class=\"fml-scenario-row-icon-img\" src=\"\/cdn\/shop\/files\/scenario-cost-drivers.svg\" alt=\"Cost drivers icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"fml-scenario-row-title\"\u003eCost drivers\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd data-export-value=\"9 studies\/month; $1.044M revenue; -$12k EBITDA; $530k payroll; $45k marketing\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e9 studies\/month\u003c\/li\u003e\n\u003cli\u003e$1.044M revenue\u003c\/li\u003e\n\u003cli\u003e-$12k EBITDA\u003c\/li\u003e\n\u003cli\u003e$530k payroll\u003c\/li\u003e\n\u003cli\u003e$45k marketing\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/td\u003e\n\u003ctd data-export-value=\"24 studies\/month; $2.945M revenue; $947k EBITDA; scaled staff; higher billable capacity\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e24 studies\/month\u003c\/li\u003e\n\u003cli\u003e$2.945M revenue\u003c\/li\u003e\n\u003cli\u003e$947k EBITDA\u003c\/li\u003e\n\u003cli\u003escaled staff\u003c\/li\u003e\n\u003cli\u003ehigher billable capacity\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/td\u003e\n\u003ctd data-export-value=\"40 studies\/month; $5.386M revenue; $2.121M EBITDA; $1.495M payroll; larger team\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e40 studies\/month\u003c\/li\u003e\n\u003cli\u003e$5.386M revenue\u003c\/li\u003e\n\u003cli\u003e$2.121M EBITDA\u003c\/li\u003e\n\u003cli\u003e$1.495M payroll\u003c\/li\u003e\n\u003cli\u003elarger team\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-scenario-row\u003e\n\u003cth class=\"fml-scenario-row-heading\" scope=\"row\" data-export-value=\"Owner income range\"\u003e\u003cspan class=\"fml-scenario-row-heading-inner\"\u003e\u003cspan class=\"fml-scenario-row-icon is-range\" aria-hidden=\"true\"\u003e\u003cimg class=\"fml-scenario-row-icon-img\" src=\"\/cdn\/shop\/files\/scenario-planning-range.svg\" alt=\"Owner income range icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"fml-scenario-row-title\"\u003eOwner income range\u003c\/span\u003e\u003cspan class=\"fml-scenario-row-subtitle\"\u003eBefore owner reserves\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd data-export-value=\"$175k salary only\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$175k salary only\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003eSalary only\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd data-export-value=\"$175k plus profit draw\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$175k plus profit draw\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003eProfit draw\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd data-export-value=\"$175k plus larger draw\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$175k plus larger draw\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-warning\"\u003eUpside draw\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-scenario-row\u003e\n\u003cth class=\"fml-scenario-row-heading\" scope=\"row\" data-export-value=\"Best fit\"\u003e\u003cspan class=\"fml-scenario-row-heading-inner\"\u003e\u003cspan class=\"fml-scenario-row-icon is-fit\" aria-hidden=\"true\"\u003e\u003cimg class=\"fml-scenario-row-icon-img\" src=\"\/cdn\/shop\/files\/scenario-best-fit.svg\" alt=\"Best fit icon\" loading=\"lazy\"\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"fml-scenario-row-title\"\u003eBest fit\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd data-export-value=\"Use this to stress-test cash discipline and what happens if growth is slow.\"\u003eUse this to stress-test cash discipline and what happens if growth is slow.\u003c\/td\u003e\n\u003ctd data-export-value=\"Use this as the main operating plan if sales and delivery stay on track.\"\u003eUse this as the main operating plan if sales and delivery stay on track.\u003c\/td\u003e\n\u003ctd data-export-value=\"Use this to test upside if hiring, referrals, and throughput all land well.\"\u003eUse this to test upside if hiring, referrals, and throughput all land well.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003cdiv class=\"fml-scenario-table-note\"\u003e\n\u003cspan class=\"fml-scenario-table-note-icon\" aria-hidden=\"true\"\u003e!\u003c\/span\u003e\u003cp\u003e\u003cstrong\u003ePlanning note:\u003c\/strong\u003e These are researched planning assumptions, not guaranteed earnings, salary promises, tax advice, or distributions; actual owner take-home depends on salary, reserves, taxes, and debt.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49303566680307,"sku":"cost-segregation-owner-makes","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/cost-segregation-owner-makes.webp?v=1782679929","url":"https:\/\/financialmodelslab.com\/products\/cost-segregation-owner-makes","provider":"Financial Models Lab","version":"1.0","type":"link"}