Complete Guide
House Flip Analysis Spreadsheet — Know Your Numbers Before You Buy
House flipping is not a creativity contest; it is a math problem with tight margins and expensive surprises. This guide turns the spreadsheet into a disciplined acquisition filter so you can decide, before you make an offer, whether a property has enough spread to survive repairs, financing, time delays, and selling friction. The 70% rule gives you the first screen, but the real decision comes from ARV comps, line-item renovation budgeting, acquisition costs, hard-money terms, holding costs, selling costs, and downside testing. Use the spreadsheet to force every assumption into a number. If the profit only exists because your ARV is aggressive, your timeline is fantasy, or your budget ignores points and commissions, pass on the deal. A flip should still make money when something predictable goes wrong—because something predictable almost always does.
1. Foundation
The 70% rule is a starting filter, not a final underwriting model. The shortcut says maximum purchase price = ARV × 70% − estimated repair costs. If your projected After Repair Value is $300,000 and repairs are $40,000, the initial cap is $300,000 × 0.70 = $210,000; $210,000 − $40,000 = $170,000 maximum purchase price. That 30% spread is supposed to absorb financing, carry, closing, sales friction, and profit. In a cheap, fast, low-risk market you may stretch it; in a thin-margin market with longer hold times you may need more than 30%. What the rule does well is save you from wasting two hours on a deal that is dead on arrival.
What it does not do is tell you whether the flip actually clears your personal minimum profit. A real analysis must answer six numbers: realistic ARV, all-in acquisition cost, renovation cost with contingency, monthly holding cost, all-in selling cost, and net profit after every dollar leaves the deal. If your spreadsheet does not include financing points, title, utilities, staging, and a price-reduction buffer, it is not a profit model—it's a hope model. Investors get hurt because they underwrite best-case ARV and base-case costs in the same sheet. Use conservative assumptions on both sides.
ARV comp worksheet built from 3 to 5 sold comparables, not listing prices or automated estimates. Pull comps within roughly 1 mile, in the same neighborhood or school zone when possible, within ±20% of the subject's square footage, matching bed/bath count as closely as possible, and sold within the last 6 months. Then adjust for meaningful differences: roughly ±$20 to $30 per square foot for size depending on the market, ±$5,000 to $10,000 for bathroom differences, ±$3,000 to $8,000 for garage differences, and ±$10,000 to $30,000 for major renovation quality. Your target ARV should be the median-adjusted value supported by the comp set, not the single highest cherry-picked sale.
Full project P&L worksheet that forces every cash outflow into the deal before you buy. Purchase price, inspection, appraisal, title, buyer closing costs, lender points, monthly interest, taxes, insurance, utilities, lawn service, dumpsters, staging, agent commission, seller closing costs, and negotiation buffer all belong on one page. If a line item regularly occurs in real flips, it belongs in the sheet whether or not you know the exact number yet. Unknown costs are not zero; they are placeholders to be filled before you commit earnest money that could become nonrefundable.
Go / no-go checklist that converts the math into a decision standard. Set clear thresholds before you fall in love with the property: minimum projected profit, minimum cash-on-cash return, maximum hold time, minimum contingency percentage, and required downside resilience. For example, a project under $250,000 ARV might need at least $25,000 to $30,000 projected profit, while a project over $250,000 ARV should usually clear $40,000 or more because the absolute dollar risk is higher. If the spreadsheet shows less than $20,000 profit, you are not buying a deal; you are buying a stressful job with permit, contractor, financing, and resale risk attached.