90 expirations next quarter. Twelve need a phone call this week. This tool shows you which twelve.
Enter your expiring leases — current rent, proposed increase, tenure, unit type, expiry date — and get back a ranked worklist: which renewals are most at risk, what the proposed increase is worth against the cost of a turnover, and where the increase is arithmetically worse than holding the resident.
How it works
Enter your expiring leases
Paste a JSON array or upload a CSV with current rent, proposed increase, tenure, unit type, and expiry date for each lease. Optionally set vacancy days and turn cost per unit.
We compute the break-even arithmetic
Daily rent × vacancy days + turn cost = total turnover cost. Divided by the monthly increase = months needed to break even. If that exceeds the remaining lease term, the increase does not pay for itself.
You get a ranked worklist with transparent math
The leases that lose money are ranked by how badly. Every row shows the formula, the arithmetic, and the result. No opaque scores, no resident data, no stored information.
Break-even: 18.4 months. Lease expires in 8 months. FLAGGED — does not break even.
Break-even: 12.0 months. Lease expires in 14 months. OK — breaks even before expiry.
Break-even: 10.5 months. Lease expires in 6 months. FLAGGED — does not break even.
What it is not
Not a prediction
The ranking is arithmetic, not a forecast of resident behaviour. It computes whether the proposed increase recovers before the lease expires. It does not score residents or predict renewal likelihood.
Not a fair-housing tool
No demographic input is considered. Operators remain responsible for compliance with all applicable fair-housing laws. This tool does not advise on what rent to charge.
Not a property management system
No accounts, no saved data, no PMS integrations (Yardi, RealPage, Entrata, AppFolio, ResMan). No email alerts or scheduled reports. Computation is transient — nothing is stored.