Pro Forma

A pro forma is a forward-looking financial projection that estimates the gross revenue, operating expenses, net operating income (NOI), and return metrics of a short-term rental investment before you acquire it. It is the primary decision-making tool for evaluating whether a property purchase will generate positive cash flow, meet your return-on-investment targets, and satisfy lender requirements — built on real market data, not seller optimism.

Key Takeaways

• A pro forma projects gross revenue, operating expenses, NOI, debt service, and return metrics for a potential STR investment before purchase
• Accuracy depends on sourcing revenue assumptions from verified comparable-listing data — not seller claims or broad averages
• Always build three scenarios (conservative, moderate, optimistic) to understand the realistic range of outcomes, not a single point estimate
• Key outputs include cap rate, cash-on-cash return, DSCR, and break-even occupancy — each serves a different analytical purpose
• The revenue line is the highest-leverage assumption; validate it with actual STR performance data for 10+ comparable listings in the same market

How to Build an STR Pro Forma

A rigorous STR pro forma has four sections: acquisition costs, revenue projection, operating expenses, and return metrics. Each section feeds the next.

Section 1: Acquisition and Setup Costs

Item	Amount
Purchase price	$475,000
Closing costs (3%)	$14,250
Renovation / repairs	$15,000
Furnishing and setup	$25,000
Total investment	$529,250
Down payment (20%)	$95,000
Cash to close (down payment + closing costs + setup)	$149,250
Loan amount	$380,000

Section 2: Revenue Projection

Model revenue by season rather than as a single annual average — the difference can swing projected income by 20–35%.

Season	Days	Avg Nightly Rate	Occupancy	Revenue
Peak (Jun–Aug)	92	$265	82%	$19,987
Shoulder (Mar–May, Sep–Nov)	183	$195	68%	$24,271
Off-season (Dec–Feb)	90	$145	48%	$6,264
Annual nightly revenue	365			$50,522
Cleaning fee income (avg 8 bookings/month)				$7,200
Total gross revenue				$57,722

Section 3: Operating Expenses

Expense	Annual Cost	% of Gross Revenue
Property management (20%)	$11,544	20.0%
Cleaning costs	$7,680	13.3%
Platform fees (3%)	$1,732	3.0%
Property taxes	$5,200	9.0%
Insurance	$2,400	4.2%
Utilities	$4,200	7.3%
Maintenance reserve (8%)	$4,618	8.0%
Supplies	$1,800	3.1%
WiFi / streaming	$1,440	2.5%
Landscaping	$1,200	2.1%
Total operating expenses	$41,814	72.4%

Section 4: Key Return Metrics

Metric	Value	Formula
Net operating income (NOI)	$15,908	Revenue − Operating Expenses
Annual mortgage (P&I)	$28,800	$2,400 / month × 12
Annual cash flow	−$12,892	NOI − Debt Service
Cap rate	3.4%	NOI ÷ Purchase Price
Cash-on-cash return	−8.6%	Cash Flow ÷ Cash Invested
DSCR	0.55	NOI ÷ Annual Debt Service
Break-even occupancy	91%	Total Annual Costs ÷ (Rate × 365)

Verdict on this example: The property does not pencil at these assumptions. A DSCR of 0.55 is well below the 1.25 threshold most lenders require, and negative cash flow at 68% shoulder occupancy is unsustainable. The investor should negotiate a lower purchase price, plan to self-manage (eliminating the 20% management fee), or pass.

Real Revenue Inputs: What the Market Actually Produces

Reliable pro formas start with reliable revenue assumptions. AirROI's trailing-12-month data across 35,301 active listings in six US markets reveals the range of gross revenue a well-run STR can realistically generate:

In AirROI's analysis of 35,301 active listings across San Diego, Scottsdale, Gatlinburg, Nashville, Miami, and Denver, median annual revenue ranges from $27,540 in Denver to $53,472 in San Diego. The spread — nearly 2× between the lowest and highest market — is the single most important reason to anchor pro forma revenue assumptions in local, verified data rather than national averages.

The revenue line is where bad investments hide. Most sellers optimize their pitch by selecting the best 3 months and extrapolating; a real pro forma models each season separately using the same data a competing buyer would pull.

Common Pro Forma Mistakes

Mistake	Impact	Correction
Using peak-season rates year-round	Overestimates revenue 20–40%	Model each season separately
Omitting expense categories	Understates costs 10–20%	Use a comprehensive expense checklist
Ignoring platform fees (3–5%)	Missing $1,500–$3,000 annually	Include Airbnb and channel fees explicitly
No maintenance reserve	Unprepared for major repairs	Budget 5–10% of gross revenue
Accepting seller's revenue claims	Often cherry-picked or inflated	Verify with independent comparable data
Single-scenario analysis	False confidence in one outcome	Always run conservative / moderate / optimistic

Why Pro Formas Matter Beyond the Purchase Decision

A pro forma built before acquisition becomes the operating benchmark after closing. Every month, actual revenue and expense data can be compared against the projections — revealing whether the asset is performing to underwriting, and flagging which expense lines are diverging. Operators who track STR investment performance against their original pro forma catch underperformance quarters earlier than those who rely only on bank statements.

Pro formas also govern financing. Most DSCR lenders require a DSCR of 1.25 or higher, meaning NOI must exceed annual debt service by 25%. A property that fails this threshold on a conservative pro forma is either overpriced or requires a larger down payment to reduce the loan balance. DSCR loans for Airbnb markets hinge on this exact calculation, making the pro forma the central document in the lending process.

Finally, tax strategy flows from the pro forma. Cost segregation studies and depreciation schedules are projected against the same income and expense structure — making the model useful for both acquisition decisions and the Airbnb vs. long-term rental comparison that determines which operating strategy maximizes after-tax returns.

Building Reliable Revenue Assumptions

1. Pull 10+ comparable listings: Filter by bedroom count, property type, and proximity in your target market. Median performance across 10+ comps is a defensible revenue assumption.
2. Adjust for your listing quality: A property with above-median amenities and a professional listing earns above-median ADR. A bare-bones listing competes on price alone.
3. Account for ramp-up: New listings typically underperform comps by 15–25% in months 1–3 as they accumulate reviews and search ranking. Build this lag into your first-year projection.
4. Project 5 years forward: A multi-year model that accounts for 2–4% annual revenue growth and 2–3% expense inflation reveals whether a marginal deal improves over time or deteriorates.
5. Stress-test the key drivers: Occupancy and nightly rate are the highest-leverage inputs. Run scenarios where each drops 10 percentage points independently to see which risk matters more for this specific property.