{"product_id":"catamaran-charter-owner-makes","title":"How Much Catamaran Charter Owners Make From $57M Year 1 Revenue","description":"\u003cbr\u003e\u003cdiv class=\"card_smpl\"\u003e\n\n\u003cdiv class=\"double_border\"\u003e\n\n\u003cdiv class=\"card_smpl_header\"\u003e\n\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-Orange-blog-plus-icon.svg\" alt=\"Key Takeaways\" class=\"icon_how_to_use\"\u003e\n\n\u003ch3\u003eKey Takeaways\u003c\/h3\u003e\n\n\u003c\/div\u003e\n\n\u003cul class=\"lst_crct_blog\"\u003e\n\n\u003cli\u003eBooked days matter most once fixed costs are spread.\u003c\/li\u003e\n\n\u003cli\u003ePricing only helps if demand and service hold.\u003c\/li\u003e\n\n\u003cli\u003eOff-season gaps and cancellations can cut cash fast.\u003c\/li\u003e\n\n\u003cli\u003eReserves matter before distributions because vessel costs bite.\u003c\/li\u003e\n\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003csection class=\"fml-owner-metric-cards\" aria-label=\"Catamaran Charter Service\"\u003e\u003cdiv class=\"metric-grid\"\u003e\n\u003carticle class=\"metric-card is-green\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Year 1 to Year 5 EBITDA from the model, before debt, taxes, reserves, and distributions; this is not salary.\"\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=\"Year 1 to Year 5 EBITDA from the model, before debt, taxes, reserves, and distributions; this is not salary.\"\u003e$3.2M to $26.1M\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"EBITDA margin equals EBITDA divided by revenue for Year 1 to Year 5; it uses model forecasts and ignores debt, taxes, 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 equals EBITDA divided by revenue for Year 1 to Year 5; it uses model forecasts and ignores debt, taxes, and owner draws.\"\u003e56% to 70%\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Year 1 revenue needed to produce the model's $3.2M EBITDA; no separate owner-pay target was provided.\"\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 needed to produce the model's $3.2M EBITDA; no separate owner-pay target was provided.\"\u003e$5.7M\u003c\/strong\u003e\u003c\/article\u003e\u003carticle class=\"metric-card\"\u003e\u003cspan class=\"metric-icon-tip\" tabindex=\"0\" data-tooltip=\"Hard reflects $4.5M fleet capex, a $3.4M minimum cash draw, and a 21-month payback; the model is profitable, but launch is capital heavy.\"\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=\"Hard reflects $4.5M fleet capex, a $3.4M minimum cash draw, and a 21-month payback; the model is profitable, but launch is capital heavy.\"\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 own charter owner income?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-owner-calculator\" aria-label=\"Sample Business Owner Income Calculator\" data-locale=\"en-US\" data-currency=\"USD\" data-default-scenario=\"base\" data-export-filename=\"Sample Business Owner Income Calculator.xlsx\" data-source-site-name=\"Financial Models Lab\" data-source-site-url=\"https:\/\/financialmodelslab.com\" data-source-page-title=\"Sample Business Owner Income Calculator\" data-note-title=\"Planning note:\" data-note-text=\"This is a researched planning estimate, not a guaranteed salary, tax advice, or owner distribution advice. Actual owner income will move with occupancy, charter mix, payroll, taxes, reserves, and fixed overhead.\"\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 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 monthly charter, excursion, and add-on revenue before expenses. Use a stable operating month, not a launch spike.\"\u003ei\u003cspan role=\"tooltip\"\u003eAverage monthly charter, excursion, and add-on revenue before expenses. Use a stable operating month, not a launch spike.\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 monthly charter, excursion, and add-on revenue before expenses. Use a stable operating month, not a launch spike.\" data-low=\"478750\" data-base=\"1489750\" data-high=\"3093917\" name=\"monthlyRevenue\" type=\"text\" inputmode=\"numeric\" value=\"1,489,750\"\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 of revenue left after provisioning, fuel, port charges, commissions, and repairs.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent of revenue left after provisioning, fuel, port charges, commissions, and repairs.\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 of revenue left after provisioning, fuel, port charges, commissions, and repairs.\" name=\"grossMargin\" type=\"range\" min=\"0\" max=\"100\" step=\"1\" data-low=\"78\" data-base=\"79\" data-high=\"81\" value=\"79\"\u003e\u003coutput\u003e79%\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 crew and operations payroll before owner pay.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly crew and operations payroll before owner pay.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"laborCost\" data-owner-kind=\"money\" data-owner-label=\"Labor cost\" data-owner-note=\"Monthly crew and operations payroll before owner pay.\" data-low=\"89583\" data-base=\"170000\" data-high=\"255833\" name=\"laborCost\" type=\"text\" inputmode=\"numeric\" value=\"170,000\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eFixed overhead\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly berth, insurance, communications, legal, accounting, and booking software costs.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly berth, insurance, communications, legal, accounting, and booking software costs.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"fixedOverhead\" data-owner-kind=\"money\" data-owner-label=\"Fixed overhead\" data-owner-note=\"Monthly berth, insurance, communications, legal, accounting, and booking software costs.\" data-low=\"27800\" data-base=\"27800\" data-high=\"27800\" name=\"fixedOverhead\" type=\"text\" inputmode=\"numeric\" value=\"27,800\"\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 spend for demand generation, PR, and booking support.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly spend for demand generation, PR, and booking support.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"marketing\" data-owner-kind=\"money\" data-owner-label=\"Marketing\" data-owner-note=\"Monthly spend for demand generation, PR, and booking support.\" data-low=\"6000\" data-base=\"6000\" data-high=\"6000\" name=\"marketing\" type=\"text\" inputmode=\"numeric\" value=\"6,000\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"fml-owner-row\"\u003e\n\u003clabel class=\"fml-owner-label\"\u003e\u003cspan\u003eDebt service\u003c\/span\u003e\u003cspan class=\"fml-owner-tooltip\" tabindex=\"0\" aria-label=\"Monthly loan or financing payments, if any.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly loan or financing payments, if any.\u003c\/span\u003e\u003c\/span\u003e\u003c\/label\u003e\u003cdiv class=\"fml-owner-money\"\u003e\n\u003cspan\u003e$\u003c\/span\u003e\u003cinput data-owner-field=\"debtService\" data-owner-kind=\"money\" data-owner-label=\"Debt service\" data-owner-note=\"Monthly loan or financing payments, if any.\" 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 take-home.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent of profit held back for taxes before owner take-home.\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 take-home.\" name=\"taxReserve\" type=\"range\" min=\"0\" max=\"45\" step=\"1\" data-low=\"18\" data-base=\"24\" data-high=\"28\" value=\"24\"\u003e\u003coutput\u003e24%\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 repairs, growth, working capital, and cash buffer.\"\u003ei\u003cspan role=\"tooltip\"\u003ePercent of profit kept for repairs, growth, working capital, and cash 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 repairs, growth, working capital, and cash buffer.\" name=\"reinvestmentReserve\" type=\"range\" min=\"0\" max=\"35\" step=\"1\" data-low=\"8\" data-base=\"10\" data-high=\"12\" value=\"10\"\u003e\u003coutput\u003e10%\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 income goal used to measure the target-pay gap.\"\u003ei\u003cspan role=\"tooltip\"\u003eMonthly owner income goal used to measure 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 income goal used to measure the target-pay gap.\" data-low=\"15000\" data-base=\"25000\" data-high=\"40000\" name=\"targetOwnerPay\" type=\"text\" inputmode=\"numeric\" value=\"25,000\"\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$642K\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\"\u003e43%\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$306K\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$617K\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$7,706,970\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$973,102\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$330,855\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$617,248\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$1.5M\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: 79%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$1.2M\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: 14%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$204K\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: 22%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$331K\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: 43%;\"\u003e\u003c\/i\u003e\u003c\/div\u003e\n\u003cb data-owner-bridge-value\u003e$642K\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 This is a researched planning estimate, not a guaranteed salary, tax advice, or owner distribution advice. Actual owner income will move with occupancy, charter mix, payroll, taxes, reserves, and fixed overhead.\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 to see the Catamaran Charter Service model?\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003cp\u003eThe screenshot shows \u003cstrong\u003erevenue, margin, costs, reserves, and owner take-home assumptions\u003c\/strong\u003e. Open the \u003ca href=\"\/products\/catamaran-charter-financial-model\"\u003eCatamaran Charter Service Financial Model Template\u003c\/a\u003e to test growth and income.\u003c\/p\u003e\n\n\u003ch4\u003eOwner-income model highlights\u003c\/h4\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eRevenue, EBITDA, cash need\u003c\/li\u003e\n\u003cli\u003e20 cabins, then 64\u003c\/li\u003e\n\u003cli\u003e21-month payback, ROE, IRR\u003c\/li\u003e\n\u003cli\u003eMinimum cash: -$3.398M\u003c\/li\u003e\n\u003cli\u003eScenario revenue: $5.745M\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\/catamaran-charter-financial-model-dashboard-financialmodelslab_2ea9f10d-9928-45de-a91c-dfc5e6662064.webp\"\u003e\n\u003cimg class=\"preview-img\" width=\"100%\" height=\"auto\" src=\"\/cdn\/shop\/files\/catamaran-charter-financial-model-dashboard-financialmodelslab_2ea9f10d-9928-45de-a91c-dfc5e6662064.webp?width=500\" alt=\"Catamaran Charter Service Financial Model dashboard summarizing key KPIs, runway, cash position and performance with a dynamic dashboard for investor-ready reporting and cash-flow clarity\"\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;\"\u003eCan one catamaran charter business make money?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eYes, a \u003cstrong\u003eCatamaran Charter Service\u003c\/strong\u003e can make money, but this researched model is not a one-boat plan: Year 1 starts with \u003cstrong\u003e20 available cabins\u003c\/strong\u003e and a \u003cstrong\u003e$45M fleet acquisition\u003c\/strong\u003e. Before modeling single-vessel income, track utilization, rate, financing, repairs, dockage, and captain costs with \u003ca href=\"\/blogs\/kpi-metrics\/catamaran-charter\"\u003eWhat Are The 5 KPI Metrics For Catamaran Charter Service Business?\u003c\/a\u003e because weather downtime or repairs can cut owner take-home fast.\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\u003eModel reality\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e20 cabins\u003c\/strong\u003e available in Year 1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$45M\u003c\/strong\u003e initial fleet acquisition\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$4.056M\u003c\/strong\u003e fixed overhead warning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$1.075M\u003c\/strong\u003e payroll load\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\u003eOwner levers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePush utilization before adding cabins\u003c\/li\u003e\n\u003cli\u003eProtect rate during peak demand\u003c\/li\u003e\n\u003cli\u003eOwner-captain early trips to save cash\u003c\/li\u003e\n\u003cli\u003eWatch \u003cstrong\u003e220%\u003c\/strong\u003e direct cost pressure\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow does scaling a catamaran charter business affect owner income?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eScaling a \u003cstrong\u003eCatamaran Charter Service\u003c\/strong\u003e can lift owner income fast, but only if booking volume and pricing grow faster than payroll, repairs, insurance, and downtime. In the model, cabins rise from \u003cstrong\u003e20\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e64\u003c\/strong\u003e in Year 5, occupancy from \u003cstrong\u003e45%\u003c\/strong\u003e to \u003cstrong\u003e78%\u003c\/strong\u003e, and revenue from \u003cstrong\u003e$5.745M\u003c\/strong\u003e to \u003cstrong\u003e$37.127M\u003c\/strong\u003e. But payroll also climbs from \u003cstrong\u003e$1.075M\u003c\/strong\u003e to \u003cstrong\u003e$3.07M\u003c\/strong\u003e, so hired captains, chefs, and stewards can help growth while lowering per-trip take-home versus owner-run trips.\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\u003eIncome upside\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e20\u003c\/strong\u003e to \u003cstrong\u003e64\u003c\/strong\u003e cabins expands sales\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e45%\u003c\/strong\u003e to \u003cstrong\u003e78%\u003c\/strong\u003e occupancy lifts yield\u003c\/li\u003e\n\u003cli\u003eRevenue scales to \u003cstrong\u003e$37.127M\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eOwner-run trips can protect early margin\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\u003eCost pressure\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePayroll rises from \u003cstrong\u003e$1.075M\u003c\/strong\u003e to \u003cstrong\u003e$3.07M\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eMore crew adds management load\u003c\/li\u003e\n\u003cli\u003eRepairs and insurance exposure rise\u003c\/li\u003e\n\u003cli\u003eDowntime risk can wipe out gains\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhat costs most reduce catamaran charter profit margin?\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\n\u003cp\u003eThe biggest margin killers are the variable costs, not the headline charter price. In Year 1, direct and variable costs total \u003cstrong\u003e220%\u003c\/strong\u003e of revenue, led by \u003cstrong\u003e85%\u003c\/strong\u003e provisioning, \u003cstrong\u003e60%\u003c\/strong\u003e fuel and port charges, \u003cstrong\u003e40%\u003c\/strong\u003e agency commissions, and \u003cstrong\u003e35%\u003c\/strong\u003e maintenance and repairs; see \u003ca href=\"\/blogs\/operating-costs\/catamaran-charter\"\u003eWhat Are Operating Costs For Catamaran Charter Service?\u003c\/a\u003e for the cost setup. Fixed carrying costs add \u003cstrong\u003e$338k\/month\u003c\/strong\u003e or \u003cstrong\u003e$4,056k\/year\u003c\/strong\u003e, so downtime hurts fast because revenue stops but costs do not.\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\u003eBiggest margin drains\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e220%\u003c\/strong\u003e of revenue goes to variable costs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e85%\u003c\/strong\u003e provisioning hits cash first\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e60%\u003c\/strong\u003e fuel and port charges stay heavy\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40%\u003c\/strong\u003e agency commissions cut margin\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\u003eFixed costs and cash risk\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e$338k\/month\u003c\/strong\u003e fixed carrying costs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$4,056k\/year\u003c\/strong\u003e fixed overhead\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$1,075M\u003c\/strong\u003e Year 1 payroll; \u003cstrong\u003e$307M\u003c\/strong\u003e Year 5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$545M\u003c\/strong\u003e capex across fleet and launch assets\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 income most?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-main-income-drivers\" aria-label=\"Main income driver grid for a catamaran charter 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\u003eBooked Days\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e45%-78%\u003c\/strong\u003e\u003cp\u003eOccupancy rises from 45% in Year 1 to 78% in Year 5, so more booked days spread marina, insurance, and crew costs across more trips.\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\u003eRate Mix\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$1.2K-$3.6K\u003c\/strong\u003e\u003cp\u003eMidweek and weekend pricing across cabin types pushes revenue from $5.745M to $37.127M, so higher suite mix lifts owner take-home fast.\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\u003eCrew Payroll\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$1.1M-$3.1M\u003c\/strong\u003e\u003cp\u003ePayroll grows from $1.075M to $3.07M as staff scales, so hiring ahead of demand can eat EBITDA even when sales grow.\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\u003eVessel Costs\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e19%-22%\u003c\/strong\u003e\u003cp\u003eFood, fuel, port charges, and repairs take 19% to 22% of revenue, so route planning and provisioning discipline protect cash.\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\u003eFixed Overhead\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$406K\u003c\/strong\u003e\u003cp\u003eMarina leases, insurance, marketing, comms, legal, and software run about $406K a year before any trip runs.\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\u003eDirect Sales\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cstrong\u003e$33K-$135K\u003c\/strong\u003e\u003cp\u003eDirect bookings avoid the 4% agency cut, and add-ons from bar sales, excursions, and event fees add $33K to $135K a year.\u003c\/p\u003e\u003c\/article\u003e\n\u003c\/div\u003e\u003c\/article\u003e\u003c\/section\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eCatamaran Charter Service Core Six Income Drivers\u003c\/span\u003e\u003c\/h2\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eBooked Charter Days\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"left-row1\"\u003e\n    \u003ch3\u003eBooked Charter Days\u003c\/h3\u003e\n    \u003cp\u003eBooked charter days drive income because every filled day spreads berth leases, insurance, booking software, marketing, and management pay across more paid trips. Here’s the quick math: occupancy as the proxy rises from \u003cstrong\u003e45%\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e78%\u003c\/strong\u003e in Year 5, so EBITDA should improve if added days use the same vessels and crew without pushing direct costs higher.\u003c\/p\u003e\n    \u003cp\u003eThe catch is control. The model only works if direct costs stay near \u003cstrong\u003e220%\u003c\/strong\u003e in Year 1 and \u003cstrong\u003e190%\u003c\/strong\u003e in Year 5. Weather, maintenance downtime, off-season gaps, slow marketing, and weak repeat bookings can leave the owner with fixed overhead but no extra cash to draw.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row1\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eTrack Fill Rate, Not Just Sales\u003c\/h3\u003e\n      \u003cp\u003eTrack booked days, cancelled days, repeat guests, and downtime by vessel and month. One clean metric matters most: occupied days divided by available days. If that number stalls, revenue quality stays weak even when the calendar looks busy.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eWatch weather lost days.\u003c\/li\u003e\n        \u003cli\u003eLog maintenance downtime fast.\u003c\/li\u003e\n        \u003cli\u003eTest off-season offers.\u003c\/li\u003e\n        \u003cli\u003eMeasure repeat booking rate.\u003c\/li\u003e\n      \u003c\/ul\u003e\n      \u003cp\u003eUse more direct bookings and returning guests to fill gaps, because each extra charter should add margin, not just work. If onboard labor or provisioning rises faster than the charter day count, owner pay gets squeezed even when sales look better.\u003c\/p\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 Charter Rate And Trip Mix\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 Charter Rate And Trip Mix\u003c\/h3\u003e\n    \u003cp\u003eYour revenue here is the weighted average charter rate per occupied cabin night. In Year 1, midweek ADR (average daily rate) is \u003cstrong\u003e$1,200\u003c\/strong\u003e for a Standard Cabin, \u003cstrong\u003e$1,800\u003c\/strong\u003e for a Master Suite, and \u003cstrong\u003e$2,200\u003c\/strong\u003e for a VIP Bow Suite. Weekend ADR rises to \u003cstrong\u003e$1,500\u003c\/strong\u003e, \u003cstrong\u003e$2,200\u003c\/strong\u003e, and \u003cstrong\u003e$2,800\u003c\/strong\u003e. If you sell more premium weekend cabins, revenue per trip rises fast.\u003c\/p\u003e\n    \u003cp\u003eTrip mix matters because half-day, full-day, sunset, event, and multi-day charters do not use the same crew or provisioning. That means the same top-line rate can produce different margin. Year 5 weekend ADR reaches \u003cstrong\u003e$1,850\u003c\/strong\u003e, \u003cstrong\u003e$2,750\u003c\/strong\u003e, and \u003cstrong\u003e$3,550\u003c\/strong\u003e, but higher rates help only when demand, guest experience, and cancellation rules hold. One weak refund policy can turn price gains into cash drag.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"left-row2\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eTrack Mix Before You Raise Rates\u003c\/h3\u003e\n      \u003cp\u003eHere’s the quick math: owner income rises when \u003cstrong\u003eoccupied cabin nights × ADR\u003c\/strong\u003e rises faster than crew and provisioning cost. Track weekday vs. weekend mix, cabin-type mix, and trip-length mix each month. A shift from Year 1 midweek Standard at \u003cstrong\u003e$1,200\u003c\/strong\u003e to Year 1 weekend VIP at \u003cstrong\u003e$2,800\u003c\/strong\u003e lifts revenue per occupied cabin by \u003cstrong\u003e$1,600\u003c\/strong\u003e.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack cabin mix by booking.\u003c\/li\u003e\n        \u003cli\u003eTrack weekend share monthly.\u003c\/li\u003e\n        \u003cli\u003eTrack trip length by crew load.\u003c\/li\u003e\n        \u003cli\u003eTrack cancellations and refunds.\u003c\/li\u003e\n        \u003cli\u003eTrack provisioning cost per trip.\u003c\/li\u003e\n      \u003c\/ul\u003e\n      \u003cp\u003eTest price changes on the trips with the strongest demand, not the weakest ones. If event or multi-day trips need more crew hours, price them to protect margin, not just fill the calendar. Keep deposits and weather terms tight, because cash timing matters almost as much as the final booking rate.\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;\"\u003eSeasonality And Cancellations\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"left-row3\"\u003e\n    \u003ch3\u003eSeasonality And Cancellations\u003c\/h3\u003e\n    \u003cp\u003eWhen the calendar turns weak, owner income drops fast because fixed costs still run. The model’s occupancy rises from \u003cstrong\u003e45%\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e78%\u003c\/strong\u003e in Year 5, so empty days are the main hidden cost early. With \u003cstrong\u003e$4.056M\u003c\/strong\u003e a year in fixed carrying costs, every unused charter day cuts into profit and owner pay.\u003c\/p\u003e\n    \u003cp\u003eTrack booked days, cancellation rate, and refund exposure by month. Storms, local tourism dips, port limits, and refund rules can move cash faster than the yearly average suggests, so a strong annual occupancy rate can still hide a bad off-season and force owner distribution cuts.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row3\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eProtect Off-Season Cash\u003c\/h3\u003e\n      \u003cp\u003eUse conservative off-season booking targets and hold a weather reserve. Build forecasts by month, not just by year, and tie deposits to clear refund terms. One clean rule: if a canceled trip can’t be rebooked quickly, it becomes a cash loss, not just a timing issue.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack monthly occupancy, not annual averages.\u003c\/li\u003e\n        \u003cli\u003eMeasure cancellations by season and port limits.\u003c\/li\u003e\n        \u003cli\u003eTest deposit size and refund timing.\u003c\/li\u003e\n        \u003cli\u003eHold cash for weather spikes.\u003c\/li\u003e\n        \u003cli\u003eReduce owner draws in weak months.\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 step3\"\u003e3\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003ch3\u003e\u003cspan style=\"color: #126CFF;\"\u003eOwner-Operated Versus Hired Crew\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n\u003cdiv class=\"right-row4\"\u003e\n\u003ch3\u003eOwner-Operated Crew vs Hired Crew\u003c\/h3\u003e\n\u003cp\u003eWhen the owner works the boat, cash burn drops, so early margins look better. But that is only a wage saved, not profit created. In this model, payroll starts at \u003cstrong\u003e$1075M\u003c\/strong\u003e in Year 1 with \u003cstrong\u003e1 fleet operations manager\u003c\/strong\u003e, \u003cstrong\u003e4 lead captains\u003c\/strong\u003e, \u003cstrong\u003e4 executive chefs\u003c\/strong\u003e, \u003cstrong\u003e4 chief stewards\u003c\/strong\u003e, and \u003cstrong\u003e1 charter specialist\u003c\/strong\u003e; by Year 5 it reaches \u003cstrong\u003e$307M\u003c\/strong\u003e. The real test is whether booked days and trip pricing can carry that labor load.\u003c\/p\u003e\n\u003cp\u003eHired captains help the fleet scale and protect service quality, but they also lower margin per trip. Here’s the quick math: every added crew role has to be paid back by \u003cstrong\u003emore booked days\u003c\/strong\u003e, \u003cstrong\u003ehigher rates\u003c\/strong\u003e, or a \u003cstrong\u003eservice premium\u003c\/strong\u003e. If occupancy softens, payroll is the fastest way owner draws get squeezed.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"left-row4\"\u003e\n\u003cdiv class=\"tips-box\"\u003e\n\u003ch3\u003eTrack Payroll Per Booked Day\u003c\/h3\u003e\n\u003cp\u003eMeasure crew cost against booked charter days, not against hope. Track \u003cstrong\u003epayroll per trip\u003c\/strong\u003e, \u003cstrong\u003ecrew-to-vessel ratio\u003c\/strong\u003e, and \u003cstrong\u003erevenue per booked day\u003c\/strong\u003e so you can see when hired labor is still earning its keep. If a new role doesn’t lift utilization or pricing, it is dragging owner income.\u003c\/p\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eBudget each crew role to booked days.\u003c\/li\u003e\n\u003cli\u003eTest rate lifts before adding headcount.\u003c\/li\u003e\n\u003cli\u003eSeparate owner wage from profit draw.\u003c\/li\u003e\n\u003cli\u003eProtect cash before expanding captains.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eUse the Year 1 to Year 5 payroll path as the guardrail: if staffing rises but booked days do not, the owner’s take-home falls. Simple rule: no hire without a clear path to \u003cstrong\u003emore demand\u003c\/strong\u003e or \u003cstrong\u003ehigher yield\u003c\/strong\u003e.\u003c\/p\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;\"\u003eVessel Ownership 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\u003eVessel Ownership Costs\u003c\/h3\u003e\n    \u003cp\u003e\u003cstrong\u003eCapital intensity\u003c\/strong\u003e cuts owner pay first. The launch stack is \u003cstrong\u003e$545M\u003c\/strong\u003e in capex, and fixed carrying costs are \u003cstrong\u003e$4,056k per year\u003c\/strong\u003e, so profit has to clear a heavy base before any distribution can start. That means booked charter days and pricing have to cover ownership load, not just trip-level operating costs.\u003c\/p\u003e\n    \u003cp\u003eHere’s the quick math: cash dips to \u003cstrong\u003e-$3,398M in Month 6\u003c\/strong\u003e, so reserves matter more than early payouts. This driver includes fleet acquisition, refit, navigation and safety systems, tenders and water toys, office setup, booking architecture, and launch assets. \u003cstrong\u003eOne bad downtime month can erase a good booking month.\u003c\/strong\u003e\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"right-row5\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eProtect Cash Before Distributions\u003c\/h3\u003e\n      \u003cp\u003e\nTrack \u003cstrong\u003efixed carrying cost per charter day\u003c\/strong\u003e, not just total spend. Use booked days, average charter rate, and maintenance downtime to test whether each trip is paying its share of haul-outs, inspections, repairs, storage, and idle crew time. If bookings slip, owner draws should wait until reserve coverage is in place.\u003c\/p\u003e\n      \u003cp\u003eBuild a cash floor before paying yourself. Keep a simple reserve rule tied to the \u003cstrong\u003e$4,056k annual base\u003c\/strong\u003e and the \u003cstrong\u003eMonth 6\u003c\/strong\u003e cash trough, then update it after every maintenance cycle. \u003cstrong\u003eNo reserve, no distribution.\u003c\/strong\u003e\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack downtime by vessel.\u003c\/li\u003e\n        \u003cli\u003eReserve for haul-outs early.\u003c\/li\u003e\n        \u003cli\u003eDelay payouts until coverage holds.\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;\"\u003eBooking Channel And Add-On Revenue\u003c\/span\u003e\u003c\/h3\u003e\u003cbr\u003e\n\u003cdiv class=\"container_new_design_timeline\"\u003e\n  \u003cdiv class=\"right-row6\"\u003e\n    \u003ch3\u003eDirect Bookings And Add-Ons\u003c\/h3\u003e\n    \u003cp\u003eIf more guests book direct, the business keeps revenue that would otherwise go to agencies. With \u003cstrong\u003e40%\u003c\/strong\u003e modeled commissions every year, each direct sale lifts cash and margin before fixed costs like crew, insurance, and vessel carrying costs hit the owner’s draw.\u003c\/p\u003e\n    \u003cp\u003eAdd-on revenue also matters: it rises from \u003cstrong\u003e$33k\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e$135k\u003c\/strong\u003e in Year 5, a \u003cstrong\u003e4.1x\u003c\/strong\u003e increase, across premium bar sales, excursion coordination, and event fees. The catch is simple: if extras add labor or provisioning faster than price, topline grows but take-home profit does not.\u003c\/p\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"left-row6\"\u003e\n    \u003cdiv class=\"tips-box\"\u003e\n      \u003ch3\u003eTrack Direct Mix And Add-On Margin\u003c\/h3\u003e\n      \u003cp\u003eMeasure \u003cstrong\u003edirect booking share\u003c\/strong\u003e, agency share, add-on attach rate, and gross margin on each extra sold. The key check is whether each add-on covers its own labor, food, and local compliance cost. If it doesn’t, it is just busy work.\u003c\/p\u003e\n      \u003cp\u003ePush partnerships, referrals, and repeat guests first, because they can lower paid acquisition cost. Then cap add-ons to what the crew, galley, and local rules can handle without hurting service quality. Track the \u003cstrong\u003ecommission saved at 40%\u003c\/strong\u003e and the net margin per trip, not just sales.\u003c\/p\u003e\n      \u003cul class=\"lst_crct_blog\"\u003e\n        \u003cli\u003eTrack direct vs. agency bookings\u003c\/li\u003e\n        \u003cli\u003ePrice each add-on separately\u003c\/li\u003e\n        \u003cli\u003eWatch labor and provisioning cost\u003c\/li\u003e\n        \u003cli\u003eLimit extras to spare capacity\u003c\/li\u003e\n        \u003cli\u003eTest referral and repeat share\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;\"\u003eCompare low, base, and high catamaran charter income scenarios\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003csection class=\"fml-scenario-table\" aria-label=\"Catamaran Charter Service Owner Income Scenarios\" data-site-name=\"Financial Models Lab\" data-site-url=\"https:\/\/financialmodelslab.com\" data-source-title=\"Catamaran Charter Service Owner Income Scenarios\" data-note-label=\"Planning note\" data-note-text=\"Scenario figures are researched planning assumptions, not guaranteed earnings, salary promises, tax advice, or distribution targets.\"\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 shifts fast with cabin count, occupancy, suite pricing, and add-on sales. Higher scale lifts EBITDA, but debt, taxes, reserves, and reinvestment cut what reaches the owner.\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\u003eCompare downside, base, and upside owner income cases.\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\"\u003eCore 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 earnings path, where launch year volume is still too small to absorb overhead cleanly.\"\u003eThis is the lower earnings path, where launch year volume is still too small to absorb overhead cleanly.\u003c\/td\u003e\n\u003ctd data-export-value=\"This is the modeled middle path, where occupancy and pricing support solid earnings.\"\u003eThis is the modeled middle path, where occupancy and pricing support solid earnings.\u003c\/td\u003e\n\u003ctd data-export-value=\"This is the stronger earnings path, where scale and add-ons lift owner take-home after the usual cuts.\"\u003eThis is the stronger earnings path, where scale and add-ons lift owner take-home after the usual cuts.\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=\"Year 1 uses 20 cabins at 45% occupancy with $5.745M revenue, 22.0% direct costs, and $1.075M payroll, so cash stays tight even with $3.239M EBITDA.\"\u003eYear 1 uses 20 cabins at 45% occupancy with $5.745M revenue, 22.0% direct costs, and $1.075M payroll, so cash stays tight even with $3.239M EBITDA.\u003c\/td\u003e\n\u003ctd data-export-value=\"Year 3 runs 40 cabins at 65% occupancy with $17.877M revenue, 20.5% direct costs, and $2.040M payroll, producing $11.712M EBITDA.\"\u003eYear 3 runs 40 cabins at 65% occupancy with $17.877M revenue, 20.5% direct costs, and $2.040M payroll, producing $11.712M EBITDA.\u003c\/td\u003e\n\u003ctd data-export-value=\"Year 5 scales to 64 cabins at 78% occupancy with $37.127M revenue, 19.0% direct costs, and $3.070M payroll, lifting EBITDA to $26.082M.\"\u003eYear 5 scales to 64 cabins at 78% occupancy with $37.127M revenue, 19.0% direct costs, and $3.070M payroll, lifting EBITDA to $26.082M.\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=\"20 cabins; 45% occupancy; 22.0% direct costs; $1.075M payroll; early cash strain\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e20 cabins\u003c\/li\u003e\n\u003cli\u003e45% occupancy\u003c\/li\u003e\n\u003cli\u003e22.0% direct costs\u003c\/li\u003e\n\u003cli\u003e$1.075M payroll\u003c\/li\u003e\n\u003cli\u003eearly cash strain\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/td\u003e\n\u003ctd data-export-value=\"40 cabins; 65% occupancy; 20.5% direct costs; $2.040M payroll; midweek and weekend ADR mix\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e40 cabins\u003c\/li\u003e\n\u003cli\u003e65% occupancy\u003c\/li\u003e\n\u003cli\u003e20.5% direct costs\u003c\/li\u003e\n\u003cli\u003e$2.040M payroll\u003c\/li\u003e\n\u003cli\u003emidweek and weekend ADR mix\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/td\u003e\n\u003ctd data-export-value=\"64 cabins; 78% occupancy; 19.0% direct costs; $3.070M payroll; premium bar and event sales\"\u003e\u003cul class=\"fml-scenario-list\"\u003e\n\u003cli\u003e64 cabins\u003c\/li\u003e\n\u003cli\u003e78% occupancy\u003c\/li\u003e\n\u003cli\u003e19.0% direct costs\u003c\/li\u003e\n\u003cli\u003e$3.070M payroll\u003c\/li\u003e\n\u003cli\u003epremium bar and event sales\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=\"$3.2M EBITDA\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$3.2M EBITDA\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003eLower income band\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd data-export-value=\"$11.7M EBITDA\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$11.7M EBITDA\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-soft\"\u003eCore income band\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd data-export-value=\"$26.1M EBITDA\"\u003e\n\u003cstrong class=\"fml-scenario-range\"\u003e$26.1M EBITDA\u003c\/strong\u003e\u003cspan class=\"fml-scenario-badge is-warning\"\u003eUpside income band\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 launch risk, cash pressure, and how much cushion you need in the first operating year.\"\u003eUse this to stress-test launch risk, cash pressure, and how much cushion you need in the first operating year.\u003c\/td\u003e\n\u003ctd data-export-value=\"Use this as the main planning case for budgets, lender talks, and staffing decisions.\"\u003eUse this as the main planning case for budgets, lender talks, and staffing decisions.\u003c\/td\u003e\n\u003ctd data-export-value=\"Use this to test upside if the fleet fills faster, mix improves, and premium sales hold.\"\u003eUse this to test upside if the fleet fills faster, mix improves, and premium sales hold.\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 Scenario figures are researched planning assumptions, not guaranteed earnings, salary promises, tax advice, or distribution targets.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49303773282547,"sku":"catamaran-charter-owner-makes","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/catamaran-charter-owner-makes.webp?v=1782678243","url":"https:\/\/financialmodelslab.com\/products\/catamaran-charter-owner-makes","provider":"Financial Models Lab","version":"1.0","type":"link"}