What changes when sold prices are not public
The main difference is not that you lose all valuation signal. It is that your value range should widen.
You may rely more heavily on active listings, pending cues, private data providers, agent insight, and model-based estimates. Those can still be useful, but they do not behave the same way as clean sold comp data from a disclosure market.
The right response is not to stop underwriting. It is to tighten your assumptions, widen the valuation range, and keep more margin in the deal.
How to use active and pending data without overstating certainty
Active and pending properties can tell you where the market is trying to price, but they do not tell you exactly where it closes.
Use actives to understand finish-level competition and list-price expectations. Use pendings to sense what types of properties are attracting offers. But remember that neither gives you the final contract price with the same clarity as closed sales.
That means the value conclusion should be framed as a range, not a single-point certainty dressed up as precision.
Practical rule
In non-disclosure states, wider value ranges and more conservative MAO assumptions are usually smarter than pretending the missing sold data does not matter.
How investors should adjust their underwriting
When the evidence mix gets thinner, offer discipline matters even more.
Use a tighter acquisition buffer, be slower to stretch ARV, and verify the neighborhood fit and finish-level match more aggressively.
If the deal only works at the high end of a model-based comp range, the comp uncertainty is not a minor note. It is the core risk in the acquisition.