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49
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Steve Waller
  • Lender
  • Houston, TX
5
Votes |
49
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531 tenanted rentals across three Texas markets. None work at the asking price.

Steve Waller
  • Lender
  • Houston, TX
Posted

I screen listings against a hard money purchase test, and tenant-occupied rentals for sale keep producing the same answer.

Houston, Harris County: 325 of them. San Antonio, Bexar County: 181. A twenty-zip corridor south and east of Houston: 25. That is 531 listings across three markets, and not one supports a purchase at the asking price.

The test is purchase plus repairs plus closing costs, all of it inside the advance against after-repair value. And note it is MORE generous on a tenanted file than on a flip, because repairs are a make-ready allowance rather than a renovation budget. It still fails. Median gap between ask and the fundable maximum in that corridor was 43%. Closest single file was 15.3% over.

I think the reason is structural rather than market conditions. A tenanted rental gets sold to somebody buying income, and that buyer is measured on yield, not on repair spread. So the seller prices to a yield the market accepts, which is a retail price with a lease attached. The tenant is a feature the seller charges for. It was never a discount.

The part that actually changed how I look at these: I ran debt coverage twice on every file with usable rent evidence, once at the asking price and once at the fundable maximum. At asking, zero of eighteen cleared 1.25. At the maximum, eight cleared it comfortably, the best at 3.36, then 2.03, then two above 1.6. Same houses, same tenants. Only the price moved. Coverage is not a property characteristic, it is a price characteristic.

Two things I would push back on in most rental screens I see.

First, do not drop a rental because it is sitting vacant. If the house has rent history you know what it earns, and unlike a tenant that history does not move out. A closed lease on the subject beats a neighborhood median every time. Vacancy is not the disqualifier; no rent record is.

Second, pull the tax rate per listing. On one file the highest rent on my whole board still failed coverage because the city runs 2.6978% -- over ten thousand a year on a mid-priced house before a single repair. It is invisible in the purchase formula and decisive on a hold.

So my question for the landlords here: has anyone actually bought a tenant-occupied listing off the MLS at or near asking and had it pencil? I am starting to think the only ones that work are bought from somebody who is not pricing to yield -- estates, tired out-of-state owners, portfolio exits. Curious whether that matches your experience or whether I am screening wrong.

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Michael Eskenasy#1 All Forums Contributor
  • Investor
  • Pacific Northwest
259
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468
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Michael Eskenasy#1 All Forums Contributor
  • Investor
  • Pacific Northwest
Replied

I think your core conclusion is right, but I’d tighten one piece: coverage is not really a property characteristic or just a price characteristic. It’s an interaction between the property’s income, operating burden, financing terms, and basis.

That distinction matters because it explains why the same house can look terrible to one buyer and perfectly rational to another.

What you’re really uncovering is that the MLS asking price is often solving for a completely different buyer than the one using hard-money or strict DSCR constraints. The seller is monetizing the lease, occupancy, and perceived stability. Your model is underwriting the capital stack. Those are two different valuation systems looking at the same asset.

The tax-rate point is especially important. A lot of investors screen properties with a simplified rent-to-price lens and only discover later that taxes, insurance, HOA, management, turnover, or local operating costs destroyed what looked like a reasonable yield.

I’d make one adjustment on vacancy too: rent history is valuable evidence, but I wouldn’t treat it as permanent. I’d preserve the subject’s actual lease history, then reconcile it against current achievable rent and property condition. The historical lease tells you what did happen; the market tells you whether you can reproduce it.

And your final point is probably where the real opportunity is: if the seller is already pricing the asset efficiently for an income buyer, there may be very little spread left to discover. The interesting inventory is often where the seller’s decision process is being driven by something other than maximizing yield—estate, fatigue, liquidity, portfolio cleanup, geography, timing, or operational failure.

At that point you’re no longer just screening houses.

You’re screening seller circumstances.

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