Red Flags in an Overly Optimistic STR Pro Forma

The pattern to watch for: assumptions stacked in one direction

A single optimistic assumption is normal — every projection has to assume something. The red flag is when every individual assumption, examined on its own, happens to land on the generous side: occupancy assumed at the high end of plausible, ADR pulled from the strongest comps rather than a representative set, and expenses trimmed to a bare minimum. No single number looks obviously wrong, but the cumulative effect can be a total that's meaningfully detached from what the property will likely actually produce.

This pattern is genuinely hard to spot at the bottom-line level, which is exactly why it's so common. A single inflated assumption might be a modest stretch on its own — small enough to seem defensible if questioned individually. Stack three or four of those stretches together across occupancy, ADR, and expenses, and the combined distortion on the net number can be far larger than any single assumption suggests.

Specific red flags worth checking directly

• Peak-month revenue presented as a monthly average: a pro forma that quietly extrapolates a single strong month across all twelve, rather than accounting for a realistic seasonal curve.
• Occupancy rates that don't reflect any off-season dip: legitimate short-term rentals in most markets see occupancy fluctuate meaningfully across the year — a flat, high occupancy assumption every month is worth questioning.
• Expenses that omit realistic STR-specific costs: cleaning turnover, increased utility usage, more frequent maintenance from higher guest turnover, and platform fees are all real costs specific to short-term operation.
• A comp set that isn't disclosed or is described only vaguely: if you can't see which properties the revenue estimate is based on, you can't evaluate whether they're actually comparable.
• No allowance for vacancy beyond seasonality: even in peak season, no property realistically books every single night — a pro forma with zero unbooked nights outside a defined off-season is optimistic by construction.
• A reserve or capital expenditure line that's missing or unrealistically small: short-term rentals see more wear from guest turnover than a long-term lease, and furnishings, appliances, and finishes typically need refreshing more often.

It's also worth paying attention to how a pro forma is framed, not just what it contains. A projection presented as "conservative" or "the number lenders will actually use" deserves the same scrutiny as any other — those labels describe an intention, not a verified outcome. The only way to know whether a pro forma is genuinely conservative is to check the individual assumptions yourself, the same way you would for a projection with no label attached at all.

How to pressure-test a pro forma before you rely on it

The most useful check is to rebuild the bottom line yourself from the component parts rather than accepting the total as given. Take the stated occupancy and ADR assumptions, apply them to a realistic seasonal curve rather than a flat monthly average, and layer in a full, honest expense list. If your rebuilt number lands meaningfully below the pro forma's figure, that gap is exactly the information you need before making an offer.

It also helps to ask a simple, direct question of whoever produced the pro forma: what happens to this deal if occupancy or ADR comes in modestly below what's assumed here? A pro forma built on genuinely realistic assumptions should have some margin built in and survive that kind of question comfortably. A pro forma that only works at exactly the assumed numbers, with no room for a normal downside, is telling you something important about how thin the deal actually is — see /learn/occupancy-adr-sensitivity-stress-testing-dscr/ for a more structured way to run that same check yourself.