{"product_id":"refinery-kpi-metrics","title":"7 Critical Financial and Operational KPIs for an Oil Refinery","description":"\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-1_new_design\"\u003e\n\u003cdiv class=\"line_top\"\u003e\u003c\/div\u003e\n\u003ch2\u003eKPI Metrics for Oil Refinery\u003c\/h2\u003e\n\u003cp\u003eRunning an Oil Refinery requires relentless focus on efficiency and margin capture, given the volatility of crude oil prices This guide outlines 7 core Key Performance Indicators (KPIs) you must track for operational and financial health Your initial 2026 forecast shows massive scale, targeting over \u003cstrong\u003e$181 billion\u003c\/strong\u003e in annual revenue and achieving break-even in just one month We focus on metrics like Gross Margin Percentage, which must stay high (around \u003cstrong\u003e845%\u003c\/strong\u003e based on initial projections), and operational metrics like utilization rate and yield Review financial KPIs monthly, but track operational metrics like throughput daily to manage costs and maximize EBITDA, which is forecasted to reach \u003cstrong\u003e$238 billion\u003c\/strong\u003e by 2030\n\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-1_new_design\" id=\"main_article_image\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\n\u003cspan style=\"color: #6067F2;\"\u003e7 KPIs to Track for \u003c\/span\u003eOil Refinery\u003c\/h2\u003e\u003cbr\u003e\n\u003ctable id=\"dwnld_tbl_id\"\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eKPI Name\u003c\/th\u003e\n\u003cth\u003eMetric Type\u003c\/th\u003e\n\u003cth\u003eTarget \/ Benchmark\u003c\/th\u003e\n\u003cth\u003eReview Frequency\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eCrude Throughput Rate (BPD)\u003c\/td\u003e\n\u003ctd\u003eOperational Volume\u003c\/td\u003e\n\u003ctd\u003e90%+ utilization\u003c\/td\u003e\n\u003ctd\u003eDaily\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eGross Margin % (GM%)\u003c\/td\u003e\n\u003ctd\u003eProfitability\u003c\/td\u003e\n\u003ctd\u003e845% or higher\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eRefinery Yield (High-Value Products)\u003c\/td\u003e\n\u003ctd\u003eConversion Efficiency\u003c\/td\u003e\n\u003ctd\u003e75%+\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eOperating Expense Ratio\u003c\/td\u003e\n\u003ctd\u003eEfficiency\u003c\/td\u003e\n\u003ctd\u003eBelow 5%\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eMinimum Cash Runway\u003c\/td\u003e\n\u003ctd\u003eLiquidity\u003c\/td\u003e\n\u003ctd\u003e3+ months of fixed costs coverage\u003c\/td\u003e\n\u003ctd\u003eDaily\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eUnplanned Downtime %\u003c\/td\u003e\n\u003ctd\u003eReliability\u003c\/td\u003e\n\u003ctd\u003eLess than 2%\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eEBITDA Growth Rate\u003c\/td\u003e\n\u003ctd\u003eGrowth Rate\u003c\/td\u003e\n\u003ctd\u003e15%+ YoY\u003c\/td\u003e\n\u003ctd\u003eAnnually\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"dwnld_btn_div\"\u003e\u003cbutton id=\"dwnld_btn_id\" class=\"dwnld_btn_clss\"\u003eDownload Table in XLSX\u003c\/button\u003e\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhich product mix changes will maximize our revenue per barrel of crude oil?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eMaximizing revenue per barrel for the Oil Refinery means constantly shifting production ratios between Gasoline, Diesel, and Jet Fuel to capture the best market price spreads. Before making these shifts, understanding the true operational costs associated with each output stream is defintely critical, so you should review \u003ca href=\"\/blogs\/operating-costs\/refinery\"\u003eAre You Monitoring The Operational Costs Of Oil Refinery Regularly?\u003c\/a\u003e to ensure your margin analysis is sound.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eUnit Economics Drive Mix\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCalculate margin per barrel for each product line.\u003c\/li\u003e\n\u003cli\u003eIdentify the highest current price differential for Jet Fuel.\u003c\/li\u003e\n\u003cli\u003eDetermine the contribution margin of Diesel output.\u003c\/li\u003e\n\u003cli\u003eSet the optimal production ratio based on profitability.\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-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eAdjusting Throughput\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMap seasonal demand swings for all three fuels.\u003c\/li\u003e\n\u003cli\u003eAdjust crude throughput to meet peak needs.\u003c\/li\u003e\n\u003cli\u003eEnsure refinery configuration supports high-yield runs.\u003c\/li\u003e\n\u003cli\u003eMonitor logistics costs for \u003cstrong\u003ebulk petroleum products\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow do we protect our gross margin percentage against volatile feedstock prices and rising utility costs?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eTo defend gross margin against price swings, you must immediately model the sensitivity of the \u003cstrong\u003e$500\/unit\u003c\/strong\u003e feedstock cost and set aggressive reduction targets for energy use; understanding this risk profile is critical, much like assessing how much a refinery owner makes, as detailed here: \u003ca href=\"\/blogs\/how-much-makes\/refinery\"\u003eHow Much Does The Owner Of An Oil Refinery Typically Make?\u003c\/a\u003e This requires linking the \u003cstrong\u003e$15M\u003c\/strong\u003e capital expenditure for the new distillation unit directly to projected unit cost savings.\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-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eAnalyze Feedstock Sensitivity\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eModel margin erosion if crude oil feedstock hits \u003cstrong\u003e$550\/unit\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eMap the full Cost of Goods Sold (COGS) breakdown defintely now.\u003c\/li\u003e\n\u003cli\u003eIdentify processing chemicals as the next largest variable cost driver.\u003c\/li\u003e\n\u003cli\u003eDetermine the maximum acceptable percentage swing in utility costs before hitting target 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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eLinking CapEx to Margin Improvement\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eJustify the \u003cstrong\u003e$15M\u003c\/strong\u003e Distillation Unit Upgrade based on projected yield improvement.\u003c\/li\u003e\n\u003cli\u003eTarget a \u003cstrong\u003e10%\u003c\/strong\u003e reduction in energy consumption per barrel processed post-upgrade.\u003c\/li\u003e\n\u003cli\u003eSet specific dollar targets for chemical waste reduction in Q3.\u003c\/li\u003e\n\u003cli\u003eEnsure the upgrade lowers the effective cost basis for gasoline production by at least \u003cstrong\u003e$15\/unit\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhat is the minimum operational efficiency level required to cover our high fixed costs?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe minimum operational efficiency for the Oil Refinery hinges on achieving a throughput volume that generates enough contribution margin to cover the \u003cstrong\u003e$765,000\u003c\/strong\u003e monthly fixed overhead. To find this break-even point, you must first define the contribution margin per unit of refined product, which directly dictates the utilization rate needed to stay profitable.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eCalculating Break-Even Throughput\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eFixed overhead stands at \u003cstrong\u003e$765,000\u003c\/strong\u003e per month, demanding high utilization.\u003c\/li\u003e\n\u003cli\u003eBreak-even throughput is calculated by dividing FC by the contribution margin per unit.\u003c\/li\u003e\n\u003cli\u003eIf you are still assessing initial capital needs, review \u003ca href=\"\/blogs\/startup-costs\/refinery\"\u003eWhat Is The Estimated Cost To Open And Launch Your Oil Refinery Business?\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eThis calculation sets the absolute minimum barrels processed daily just to cover operating costs.\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-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eOptimizing for Uptime\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eUnplanned downtime directly erodes the potential throughput volume needed.\u003c\/li\u003e\n\u003cli\u003eOptimize maintenance schedules to shift from reactive fixes to predictive upkeep strategies.\u003c\/li\u003e\n\u003cli\u003eA \u003cstrong\u003e1%\u003c\/strong\u003e increase in uptime can significantly lower the required daily processing rate.\u003c\/li\u003e\n\u003cli\u003eFocus on asset reliability to ensure consistent product flow to your B2B clients defintely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eAre our major capital expenditures generating sufficient returns on investment (ROI)?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe massive \u003cstrong\u003e1,036,784% ROE\u003c\/strong\u003e suggests capital is abundant, but we must immediately shift focus to tracking the \u003cstrong\u003eInternal Rate of Return (IRR)\u003c\/strong\u003e for the \u003cstrong\u003e$565 million\u003c\/strong\u003e in 2026 capital expenditures to validate aggressive capacity expansion. We need granular project-level analysis, particularly for the \u003cstrong\u003e$12 million\u003c\/strong\u003e Hydrocracking upgrade, before fully committing to this scale of reinvestment.\u003c\/p\u003e\n\u003cp\u003eBefore diving into the numbers, remember that high overall profitability doesn't automatically mean every new investment pays off; it’s important to understand the landscape, which is why we look at whether the Oil Refinery business is achieving sustainable profitability, as detailed in this analysis: \u003ca href=\"\/blogs\/profitability\/refinery\"\u003eIs The Oil Refinery Business Currently Achieving Sustainable Profitability?\u003c\/a\u003e\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-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eProject-Level Return Tracking\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eROE of \u003cstrong\u003e1,036,784%\u003c\/strong\u003e is an aggregate metric, not a project guide.\u003c\/li\u003e\n\u003cli\u003eCalculate IRR (the discount rate making Net Present Value zero) for each investment.\u003c\/li\u003e\n\u003cli\u003eThe \u003cstrong\u003e$565 million\u003c\/strong\u003e spend is spread across \u003cstrong\u003enine\u003c\/strong\u003e distinct initiatives.\u003c\/li\u003e\n\u003cli\u003eWe must set a hurdle rate clearly above our weighted average cost of capital.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eValidating the $565M Reinvestment\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eThe \u003cstrong\u003e$12 million\u003c\/strong\u003e Hydrocracking expansion needs its own IRR check.\u003c\/li\u003e\n\u003cli\u003eAggressive reinvestment relies heavily on future volume growth assumptions.\u003c\/li\u003e\n\u003cli\u003eIf market demand for gasoline or diesel stalls, this new capacity costs money.\u003c\/li\u003e\n\u003cli\u003eWe must defintely link this spend to projected B2B sales targets for distributors and airlines.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\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-20-blog-plus-icon.svg\" alt=\"Icon\" 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\u003eRigorous control over COGS, especially feedstock costs, is necessary to sustain the projected 845% Gross Margin against market volatility.\u003c\/li\u003e\n\n\u003cli\u003eDaily tracking of Crude Throughput Rate (aiming for 90%+ utilization) is critical for absorbing high fixed costs and achieving rapid break-even.\u003c\/li\u003e\n\n\u003cli\u003eMaximizing Refinery Yield by optimizing the product mix directly translates into higher revenue per barrel of crude input.\u003c\/li\u003e\n\n\u003cli\u003eOperational reliability, measured by minimizing Unplanned Downtime (target \u0026lt;2%), is key to achieving massive projected EBITDA growth.\u003c\/li\u003e\n\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 1\n: \u003cspan style=\"color: #126CFF;\"\u003eCrude Throughput Rate (BPD)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eCrude Throughput Rate (BPD) tells you the daily volume of crude oil your refinery actually processes compared to what it \u003cem\u003ecould\u003c\/em\u003e process if running flat out. It’s a key measure of asset utilization for any heavy industrial operation. For an oil refinery, hitting the \u003cstrong\u003e90%+ utilization\u003c\/strong\u003e target daily is crucial because fixed costs in processing are massive. You need to run hard to spread that overhead.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows true operational efficiency immediately.\u003c\/li\u003e\n\u003cli\u003eHigh rates signal good maintenance scheduling adherence.\u003c\/li\u003e\n\u003cli\u003eDirectly impacts fixed cost absorption per barrel processed.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePushing utilization too high increases mechanical failure risk.\u003c\/li\u003e\n\u003cli\u003eIt hides quality issues if throughput is maintained artificially.\u003c\/li\u003e\n\u003cli\u003eCapacity definition can be subjective if not strictly defined.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eIn refining, utilization is everything. You need to run near nameplate capacity to cover the huge capital investment required to build the plant. While \u003cstrong\u003e90%+\u003c\/strong\u003e is the stated goal for modern facilities, older legacy refineries might struggle to consistently stay above 85%. Hitting that 90% threshold means you're effectively spreading your massive fixed overhead across the maximum possible barrels.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eSchedule maintenance during planned outages, not unplanned stops.\u003c\/li\u003e\n\u003cli\u003eSecure reliable, high-quality crude feedstock supply contracts.\u003c\/li\u003e\n\u003cli\u003eOptimize unit sequencing to minimize bottlenecks between processing stages.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate this by dividing the actual barrels processed in a 24-hour period by the maximum rated capacity of the facility. This gives you the utilization percentage. If you process less than capacity, you are leaving money on the table because fixed costs keep running.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCrude Throughput Rate (BPD) = (Total Barrels Processed Daily) \/ (Maximum Rated Capacity in BPD)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay your refinery has a nameplate capacity of \u003cstrong\u003e100,000 BPD\u003c\/strong\u003e, but due to a minor operational hiccup on Tuesday, you only processed \u003cstrong\u003e91,000 barrels\u003c\/strong\u003e. The rate is 91%. Here’s the quick math: You need to check this defintely every day. \u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCrude Throughput Rate (BPD) = (91,000 BPD) \/ (100,000 BPD) = 0.91 or 91%\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReview this metric every morning, not monthly.\u003c\/li\u003e\n\u003cli\u003eTie throughput dips directly to Unplanned Downtime %.\u003c\/li\u003e\n\u003cli\u003eEnsure 'Maximum Capacity' reflects realistic, sustainable output.\u003c\/li\u003e\n\u003cli\u003eUse this daily rate to forecast variable utility costs accurately.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 2\n: \u003cspan style=\"color: #126CFF;\"\u003eGross Margin % (GM%)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eGross Margin Percentage (GM%) shows how much money you keep from sales after paying for the direct costs of making your product. For this refinery, it measures the profitability of turning crude oil into fuels like gasoline and diesel before overhead costs hit. Hitting the target shows your core conversion process is working well.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows true processing efficiency before fixed costs.\u003c\/li\u003e\n\u003cli\u003eGuides pricing strategy for refined fuel sales.\u003c\/li\u003e\n\u003cli\u003eDirectly impacts operational cash flow potential.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores fixed costs like major maintenance.\u003c\/li\u003e\n\u003cli\u003eCan be skewed by volatile crude commodity prices.\u003c\/li\u003e\n\u003cli\u003eDoesn't reflect long-term capital expenditure needs.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor complex manufacturing like refining, margins vary widely based on crude input costs and product spreads. A target of \u003cstrong\u003e845%\u003c\/strong\u003e suggests an expectation of extremely high value capture, far exceeding typical gross margins seen in standard commodity processing, which often hover between \u003cstrong\u003e10%\u003c\/strong\u003e and \u003cstrong\u003e30%\u003c\/strong\u003e. Reviewing this monthly is crucial because product spreads change fast.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMaximize yield of high-value products like diesel.\u003c\/li\u003e\n\u003cli\u003eNegotiate lower costs for crude oil inputs (COGS).\u003c\/li\u003e\n\u003cli\u003eReduce unplanned downtime to boost total throughput volume.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTo see if your core process is profitable, you subtract the cost of goods sold (COGS) from total revenue, then divide that result by total revenue. This metric indicates core processing profitability.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n(Total Revenue - Total COGS) \/ Total Revenue\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eIf the refinery brought in \u003cstrong\u003e$100 million\u003c\/strong\u003e in sales for the month but the crude oil and direct processing costs totaled \u003cstrong\u003e$15 million\u003c\/strong\u003e, the calculation shows the current performance level. This is reviewed monthly against the \u003cstrong\u003e845%\u003c\/strong\u003e goal.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n($100,000,000 - $15,000,000) \/ $100,000,000 = \u003cstrong\u003e85%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack GM% against the \u003cstrong\u003e845%\u003c\/strong\u003e target monthly.\u003c\/li\u003e\n\u003cli\u003eIsolate COGS drivers, especially crude procurement costs.\u003c\/li\u003e\n\u003cli\u003eCompare margin performance across product lines.\u003c\/li\u003e\n\u003cli\u003eIf margin dips, check Crude Throughput Rate immediately; defintely watch utilization.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 3\n: \u003cspan style=\"color: #126CFF;\"\u003eRefinery Yield (High-Value Products)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eRefinery Yield measures the percentage of crude oil input that successfully converts into high-margin products, specifically Gasoline and Diesel. It’s defintely your core efficiency metric for maximizing profit from every barrel processed. Hitting the \u003cstrong\u003e75%+\u003c\/strong\u003e target shows your technology is working as designed to meet critical fuel demands.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDirectly links input cost to high-margin output revenue streams.\u003c\/li\u003e\n\u003cli\u003eHighlights the effectiveness of advanced conversion units.\u003c\/li\u003e\n\u003cli\u003eDrives operational focus toward premium product blending targets.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCan incentivize over-processing if low-value residuals are ignored.\u003c\/li\u003e\n\u003cli\u003eDoes not account for the market price volatility of Gasoline and Diesel.\u003c\/li\u003e\n\u003cli\u003eA high number might mask underlying maintenance issues if throughput is artificially constrained.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor modern refineries processing light sweet crude, a yield above \u003cstrong\u003e75%\u003c\/strong\u003e for core products like Gasoline and Diesel is the standard expectation. Legacy facilities often run lower, sometimes closer to 65%. This benchmark is crucial because it immediately shows if your operational efficiency is competitive in converting crude into the most profitable streams available.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eOptimize catalyst performance in conversion units weekly.\u003c\/li\u003e\n\u003cli\u003eAdjust crude slate mix to favor lighter crudes if market pricing supports it.\u003c\/li\u003e\n\u003cli\u003eMinimize production of low-value residuals like heavy fuel oil or asphalt.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate this yield by dividing the total volume of high-value products—Gasoline and Diesel—by the total volume of crude oil you started with for that period. This calculation must be done \u003cstrong\u003eweekly\u003c\/strong\u003e to catch process drift fast.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n(Volume of high-value products) \/ (Volume of crude input)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eIf your refinery processes \u003cstrong\u003e100,000\u003c\/strong\u003e barrels of crude input over seven days, and the output of Gasoline and Diesel combined is \u003cstrong\u003e78,000\u003c\/strong\u003e barrels, you calculate the yield like this:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n78,000 Barrels \/ 100,000 Barrels\n\u003c\/div\u003e\n\u003cp\u003eThe result is \u003cstrong\u003e0.78\u003c\/strong\u003e, or \u003cstrong\u003e78%\u003c\/strong\u003e yield. This number is well above the \u003cstrong\u003e75%+\u003c\/strong\u003e target, meaning you are converting crude efficiently into the most profitable products for your B2B customers.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack this metric \u003cstrong\u003edaily\u003c\/strong\u003e, even though the target review is weekly.\u003c\/li\u003e\n\u003cli\u003eCorrelate yield dips immediately with Unplanned Downtime (KPI 6).\u003c\/li\u003e\n\u003cli\u003eEnsure measurement systems accurately capture all finished product volumes.\u003c\/li\u003e\n\u003cli\u003eFactor in inventory changes when calculating weekly averages; don't just use production runs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 4\n: \u003cspan style=\"color: #126CFF;\"\u003eOperating Expense Ratio\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe Operating Expense Ratio tracks how efficiently your overhead costs are managed relative to sales. It measures \u003cstrong\u003enon-COGS efficiency\u003c\/strong\u003e, showing what percentage of every revenue dollar goes to running the business, not buying crude oil or paying direct processing costs. For this refinery, keeping this low is key to long-term profitability.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePinpoints overhead spending before it erodes margins.\u003c\/li\u003e\n\u003cli\u003eHelps compare operational efficiency across different production scales.\u003c\/li\u003e\n\u003cli\u003eForces management to scrutinize administrative and selling costs monthly.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eA very low ratio might signal underinvestment in critical maintenance or sales staff.\u003c\/li\u003e\n\u003cli\u003eIt ignores the cost of raw materials (COGS), which are huge for a refinery.\u003c\/li\u003e\n\u003cli\u003eIt can look bad during initial ramp-up phases when revenue is low but fixed costs are high.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor heavy industrial operations like refining, benchmarks vary widely based on asset age and utilization. The target here is aggressive: aiming for \u003cstrong\u003ebelow 5%\u003c\/strong\u003e. However, the \u003cstrong\u003e2026 projection sits at 47%\u003c\/strong\u003e, which suggests significant initial operating costs relative to expected revenue during that period, or perhaps a very high initial OpEx budget. You need to understand why that 47% gap exists.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAutomate routine administrative tasks to reduce headcount costs in SG\u0026amp;A.\u003c\/li\u003e\n\u003cli\u003eAggressively manage non-production overhead like utilities and insurance contracts.\u003c\/li\u003e\n\u003cli\u003eDrive up Crude Throughput Rate (BPD) to spread fixed operating costs across more barrels sold.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTo calculate this, you sum up all annual operating expenses—salaries, maintenance not capitalized, G\u0026amp;A—and divide that by the total revenue generated that year. Here’s the quick math:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nTotal Annual OpEx \/ Total Annual Revenue\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eIf the refinery projects \u003cstrong\u003e$1,000,000,000\u003c\/strong\u003e in Total Annual Revenue for 2026, and the projected Total Annual OpEx is \u003cstrong\u003e$470,000,000\u003c\/strong\u003e, the ratio is calculated as follows. This mirrors the expected 2026 performance.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n$470,000,000 \/ $1,000,000,000 = 0.47 or \u003cstrong\u003e47%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReview this ratio \u003cstrong\u003emonthly\u003c\/strong\u003e, as mandated, to catch deviations fast.\u003c\/li\u003e\n\u003cli\u003eEnsure you strictly separate direct processing costs (COGS) from overhead (OpEx).\u003c\/li\u003e\n\u003cli\u003eIf the ratio is high, check if increased OpEx is tied to higher throughput utilization.\u003c\/li\u003e\n\u003cli\u003eIf you are far from the \u003cstrong\u003e5% target\u003c\/strong\u003e, focus on scaling revenue faster than overhead grows; defintely don't cut essential maintenance.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 5\n: \u003cspan style=\"color: #126CFF;\"\u003eMinimum Cash Runway\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eMinimum Cash Runway shows how long your company can keep the lights on using only the cash you have right now. For Vanguard Energy Partners, this metric directly measures liquidity against immediate operational needs and capital expenditures (CapEx). You must ensure you always have enough cash buffer to handle unexpected refinery shutdowns or market dips.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eGuarantees you can fund daily operations, like paying for crude feedstock and staff wages.\u003c\/li\u003e\n\u003cli\u003eProvides a clear timeline for securing the next round of financing or managing large CapEx projects.\u003c\/li\u003e\n\u003cli\u003eBoosts investor confidence by showing disciplined cash management, especially critical for capital-intensive projects like refineries.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eA high runway number can mask a rapidly accelerating cash burn rate, leading to false security.\u003c\/li\u003e\n\u003cli\u003eIt doesn't account for non-cash expenses or the timing mismatch between large CapEx payments and revenue cycles.\u003c\/li\u003e\n\u003cli\u003eFocusing too much on runway can slow down necessary growth investments needed to scale throughput.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor heavy industry like oil refining, standard benchmarks often relate to covering 6 to 12 months of fixed costs due to long project lead times. However, your internal target is stricter: maintaining \u003cstrong\u003e3+ months\u003c\/strong\u003e of fixed cost coverage is essential for operational stability. This is especially true when managing the massive capital requirements associated with refinery operations.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eImplement a \u003cstrong\u003edaily cash position review\u003c\/strong\u003e to immediately flag deviations from the required minimum cash level.\u003c\/li\u003e\n\u003cli\u003eAggressively manage working capital cycles, especially receivables from large B2B fuel distributors, to speed up cash conversion.\u003c\/li\u003e\n\u003cli\u003eStress-test operating expenses against potential drops in Gross Margin % to ensure the \u003cstrong\u003e3+ months\u003c\/strong\u003e coverage remains intact even under duress.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTo calculate the runway in months, you divide your current cash on hand by the average monthly fixed costs you expect to incur. This tells you exactly how many months you can operate before running out of money, assuming no new revenue comes in.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003eCash Runway (Months) = Total Cash Balance \/ Total Monthly Fixed Costs\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSuppose you are looking at the January 2026 projection where the minimum required cash is \u003cstrong\u003e$14,655,000\u003c\/strong\u003e, which is set to cover \u003cstrong\u003e3 months\u003c\/strong\u003e of fixed costs. Here’s the quick math to find the implied monthly fixed spend you\nmust cover.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003eMonthly Fixed Costs = Minimum Required Cash \/ Target Runway (Months) = $14,655,000 \/ 3\u003c\/div\u003e\n\u003cp\u003eThis calculation shows that the operational budget requires covering approximately \u003cstrong\u003e$4,885,000\u003c\/strong\u003e per month in fixed overhead, salaries, and debt service to maintain that safety buffer. What this estimate hides is that the actual cash balance must always exceed this floor, defintely.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eSet automated alerts if cash dips below \u003cstrong\u003e110%\u003c\/strong\u003e of the required minimum threshold.\u003c\/li\u003e\n\u003cli\u003eModel the impact of a \u003cstrong\u003e20% drop\u003c\/strong\u003e in Gross Margin % on your runway duration immediately.\u003c\/li\u003e\n\u003cli\u003eEnsure CapEx spending schedules are strictly tied to cash availability, not just budget approval.\u003c\/li\u003e\n\u003cli\u003eTrack the timing of large B2B payments to smooth out daily cash flow volatility.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 6\n: \u003cspan style=\"color: #126CFF;\"\u003eUnplanned Downtime %\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eUnplanned Downtime Percentage measures how often your refinery stops running unexpectedly due to equipment failure or maintenance issues. This KPI shows maintenance effectiveness and overall operational reliability, which is critical for a high-volume producer like an oil refinery. Keeping this number low directly impacts your ability to meet daily Crude Throughput Rate targets.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePinpoints maintenance failures immediately for fast fixes.\u003c\/li\u003e\n\u003cli\u003eDirectly links maintenance quality to lost production volume.\u003c\/li\u003e\n\u003cli\u003eHelps justify preventative maintenance spending versus reactive repairs.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDoesn't separate minor stoppages from major, costly failures.\u003c\/li\u003e\n\u003cli\u003eCan incentivize delaying necessary, minor repairs to keep the percentage low.\u003c\/li\u003e\n\u003cli\u003eIgnores the severity or duration of the downtime event itself.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor modern, technologically advanced refineries, the target is usually \u003cstrong\u003eless than 2%\u003c\/strong\u003e. Legacy facilities might run higher, perhaps \u003cstrong\u003e4% to 6%\u003c\/strong\u003e, but that costs serious money in lost output and missed sales opportunities. Hitting this benchmark proves your capital investment in modern efficiency is working.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eImplement predictive maintenance using real-time sensor data.\u003c\/li\u003e\n\u003cli\u003eStandardize emergency shutdown and restart procedures for faster recovery.\u003c\/li\u003e\n\u003cli\u003eIncrease spare parts inventory for the \u003cstrong\u003etop three\u003c\/strong\u003e failure points.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate Unplanned Downtime Percentage by dividing the total hours the refinery was shut down without warning by the total hours it was scheduled to run. This gives you a clear percentage of lost potential time.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nUnplanned Downtime % = (Hours of unplanned shutdown) \/ (Total operating hours)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay your refinery is scheduled to run 24 hours a day for 30 days, giving you \u003cstrong\u003e720 total operating hours\u003c\/strong\u003e. If a critical pump fails unexpectedly, causing 15 hours of shutdown time, you calculate the impact like this:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nUnplanned Downtime % = 15 Hours \/ 720 Hours = 0.0208 or \u003cstrong\u003e2.08%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eIn this case, you missed your \u003cstrong\u003e2%\u003c\/strong\u003e target by a hair. That \u003cstrong\u003e0.08%\u003c\/strong\u003e overage represents lost potential revenue from gasoline and diesel sales.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReview this metric every \u003cstrong\u003eMonday morning\u003c\/strong\u003e meeting with operations.\u003c\/li\u003e\n\u003cli\u003eTrack downtime root causes, not just the total hours lost.\u003c\/li\u003e\n\u003cli\u003eTie operator and maintenance team bonuses to maintaining uptime targets.\u003c\/li\u003e\n\u003cli\u003eEnsure maintenance scheduling respects the \u003cstrong\u003e2%\u003c\/strong\u003e limit; defintely don't push planned work into unplanned time.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 7\n: \u003cspan style=\"color: #126CFF;\"\u003eEBITDA Growth Rate\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eEBITDA Growth Rate measures how fast your core operational cash flow is expanding annually. It’s the key metric for tracking if your refinery is scaling profitability faster than the previous year, ignoring debt structure and taxes. The target for a growing operation like this one should be \u003cstrong\u003e15%+ Year-over-Year (YoY)\u003c\/strong\u003e, reviewed annually.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows true operational cash generation, ignoring financing and tax structures.\u003c\/li\u003e\n\u003cli\u003eDirectly signals success in managing the high fixed costs inherent in refining.\u003c\/li\u003e\n\u003cli\u003eCrucial input for valuation, especially when seeking debt or equity financing for expansion.\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-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores necessary capital expenditures (CapEx) needed to maintain refinery assets.\u003c\/li\u003e\n\u003cli\u003eHighly sensitive to commodity price swings, which affect revenue immediately.\u003c\/li\u003e\n\u003cli\u003eDoesn't account for changes in working capital, like inventory build-up for crude oil.\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-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor stable, high-CapEx industries like energy infrastructure, a \u003cstrong\u003e15%\u003c\/strong\u003e growth rate is aggressive but achievable during a strong expansion phase. Mature, established refineries might settle for \u003cstrong\u003e5% to 8%\u003c\/strong\u003e growth annually. Hitting 15%+ signals you are successfully increasing throughput or significantly improving margins, like achieving that \u003cstrong\u003e845%\u003c\/strong\u003e Gross Margin target.\u003c\/p\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-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eBoost \u003cstrong\u003eCrude Throughput Rate (BPD)\u003c\/strong\u003e utilization above the \u003cstrong\u003e90%\u003c\/strong\u003e target daily.\u003c\/li\u003e\n\u003cli\u003eIncrease \u003cstrong\u003eRefinery Yield (High-Value Products)\u003c\/strong\u003e toward the \u003cstrong\u003e75%+\u003c\/strong\u003e goal by optimizing conversion.\u003c\/li\u003e\n\u003cli\u003eAggressively drive down the \u003cstrong\u003eOperating Expense Ratio\u003c\/strong\u003e below the \u003cstrong\u003e5%\u003c\/strong\u003e target for 2026.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\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-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate this by taking the difference between the current year’s EBITDA and the prior year’s EBITDA, then dividing that difference by the prior year’s figure. This shows the percentage expansion rate.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n(Current Year EBITDA - Prior Year EBITDA) \/ Prior Year EBITDA\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay Vanguard Energy Partners posted $100,000,000 in EBITDA last year. If this year, due to better utilization and pricing, they hit $115,000,000, the growth rate is exactly 15%, meeting the minimum threshold.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n($115,000,000 - $100,000,000) \/ $100,000,000 = \u003cstrong\u003e0.15 or 15%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e  \n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReview this metric only annually, as required, but track underlying drivers monthly.\u003c\/li\u003e\n\u003cli\u003eCompare growth against the Gross Margin % trend to see if expansion is truly profitable.\u003c\/li\u003e\n\u003cli\u003eEnsure EBITDA calculations exclude non-recurring gains or losses from asset sales.\u003c\/li\u003e\n\u003cli\u003eIf growt\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49304039457011,"sku":"refinery-kpi-metrics","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/refinery-kpi-metrics.webp?v=1782690859","url":"https:\/\/financialmodelslab.com\/products\/refinery-kpi-metrics","provider":"Financial Models Lab","version":"1.0","type":"link"}