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AnalysisJuly 18, 2026 · 7 min read · Updated August 29, 2026

The $100 DSCR stress test: what breaks the deal

The Greenstreet engine±100
Deterministic · Traceable · Same inputs → same outputs
Fig. 1Analysis · July 18, 2026 · Greenstreet Finance
Article
TL;DR — 30-second version

Move rent and each PITIA line by $100 and the property's weak assumptions show up fast. The resulting map beats trusting one base-case ratio.

A sensitivity analysis asks one question: if a single assumption moves, how much does the result move? For a DSCR deal, the result is eligible rent divided by PITIA, the full payment of principal, interest, taxes, insurance, and association dues. A resting heart rate tells a doctor very little; the treadmill shows what the heart does under load, and a base-case ratio is the resting number. The stress test below puts the deal on the treadmill: reduce rent by $100, restore it, then add $100 separately to the payment inputs, and see which assumption has enough power to change the financing decision.

The six-scenario stress test, one step at a time

The post's six-scenario stress test as a DSCR ladder, from the 1.25x base case down to the 1.00x break-even where rent exactly equals PITIA; illustrative example.
The post's six-scenario stress test as a DSCR ladder, from the 1.25x base case down to the 1.00x break-even where rent exactly equals PITIA; illustrative example.

Start with the base case: $3,000 of eligible rent over $2,400 of PITIA is 1.25x. Scenario two drops rent by $100, so $2,900 divided by $2,400 gives 1.21x. Scenario three restores the rent and instead raises PITIA by $100: $3,000 divided by $2,500 is 1.20x. A $100 move on either side of the fraction does roughly the same damage; the ratio does not care which line item moved. Scenario four applies both moves at once, $2,900 over $2,500, and the ratio lands at 1.16x. Scenario five doubles the stress, rent down $200 and PITIA up $200: $2,800 over $2,600 is 1.08x, and the cushion is nearly gone. Scenario six finds the floor. Break-even is the rent at which the ratio hits exactly 1.00x, which happens when rent equals PITIA: at $2,400 of rent, every dollar collected is consumed by the payment, nothing left over.

ScenarioEligible rentPITIADSCR
Base case$3,000$2,4001.25x
Rent down $100$2,900$2,4001.21x
PITIA up $100$3,000$2,5001.20x
Both changes together$2,900$2,5001.16x
Rent down $200, PITIA up $200$2,800$2,6001.08x
Break-even at 1.00x$2,400$2,4001.00x

These figures are illustrative, and they hide the most important lesson of the exercise. The same $100 expense increase has the same mathematical effect regardless of whether it comes from insurance, taxes, HOA dues, or the loan payment. The practical risk differs, because each input has a different probability, evidence source, and ability to be controlled. A locked loan payment cannot surprise you; a tax bill can reset after the sale, an insurance premium can jump between quote and binding, and rent depends on a market you do not control. The arithmetic is symmetric; the world is not.

Calculate break-even rent and maximum PITIA

Three thresholds turn the map into planning numbers, and each takes one line of arithmetic. Break-even rent at 1.00x simply equals PITIA: $2,400. If the planning target is 1.20x, the required rent is PITIA times the target, $2,400 times 1.20, or $2,880. Flip the same formula to find the maximum payment the current rent can carry: $3,000 divided by 1.20 is $2,500. Compare that to the base-case PITIA of $2,400 and this deal has only $100 of monthly PITIA headroom before it falls below the 1.20x planning target. A full stress matrix extends this single-variable map into a grid of combined moves.

Planning thresholdFormulaAmount
Break-even rent at 1.00x DSCRequals PITIA$2,400
Required rent at a 1.20x target$2,400 × 1.20$2,880
Maximum PITIA at a 1.20x target$3,000 ÷ 1.20$2,500

Add an evidence score to every assumption

Two deals with identical ratios can carry very different risk, because the inputs behind the numbers rest on different evidence. Score each input honestly:

  • High confidence: executed lease with verified payment history, current tax authority data, bindable insurance quote, final HOA statement, locked loan terms.
  • Medium confidence: appraiser-supported market rent, preliminary title or tax estimate, insurer indication, lender quote not yet locked.
  • Low confidence: listing rent, seller estimate, old tax bill, online insurance average, hoped-for refinance rate, or unverified HOA amount.

A small low-confidence input deserves more attention than a larger verified one. A $75 uncertain insurance assumption near the program boundary may matter more than a $300 tax figure confirmed by the assessor: the verified number cannot move, and the uncertain one can.

Turn the map into actions

The map exists to tell you which input to verify first. The two most common weak points have their own playbooks: post-sale tax reassessment and the insurance premium and deductible test.

  • If rent is the weak point, obtain better comparables, inspect competing units, and test a longer lease-up period.
  • If taxes are weak, model post-sale reassessment and supplemental billing.
  • If insurance is weak, obtain a property-specific bindable quote and review deductible exposure.
  • If the debt payment is weak, compare loan amount, points, amortization, and interest-only reset without assuming a future refinance.
  • If HOA dues are weak, review the current budget, special assessments, insurance, reserves, and pending litigation with qualified professionals.

DSCR stress is not cash-flow stress

Repeat the whole exercise in your full operating model with vacancy, management, utilities, repairs, and capital expenditures, because a lender-style ratio can remain above a target while investor cash flow turns negative. Use the DSCR map for financing durability and the cash-flow map for investment durability. Use the lender's threshold for eligibility and a separate investor target for risk planning, since both are program- and strategy-specific, and let the investor target reflect input uncertainty, property volatility, and liquidity. $100 increments are easy to understand and compare across inputs; use smaller increments for a tight file or larger percentages for an expensive property, because consistency matters more than the chosen step. And keep the tool's limits in view. A sensitivity analysis cannot predict the future; it exposes how assumptions affect the result. Probabilities, correlations, and rare events need deeper analysis, but the simple map quickly reveals fragile deals.

A single DSCR tells you where the deal sits today. A sensitivity map shows how far it can move before the financing or investment thesis changes. Verify the inputs with the steepest consequences first, then price, restructure, or pass with a clearer view of risk.

Running this on an actual deal takes minutes: compute the base ratio in the DSCR calculator, write the six scenarios, work out break-even rent and maximum PITIA, score every input's evidence, and verify the weakest one before you write the offer.

Nothing on this page is a program rule or a quote. Before acting on any of it, confirm the details against the responsible provider's current, dated eligibility and pricing materials.

Written and reviewed by Adrian Meyer, Head of Research and the Greenstreet Research editorial team. Adrian Meyer leads Greenstreet Research, the editorial and model-validation desk behind the Guidance library. Every statute, form, and figure is checked against the cited primary source before publication, and every worked example is recomputed by the platform's deterministic engine. Greenstreet Finance is a brokerage, not a lender: the lender on your file underwrites it and makes the decision.
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