Reaching $5,000 a month in net rental income takes more properties than most people expect, and the BRRRR recycling math is why.

The rate assumption is the one that kills deals, and I would say it louder than that. I have watched people underwrite at 6.5 percent and close at 7.75 and just absorb it because they were already in motion.

What I want to know before trusting that 310k appraisal: who pulled the comps, and were they actual fourplex sales or a mix of single-family and small multifamily that the appraiser blended together to get there?

The model is tight and the rent sensitivity math is right. The assumption doing the most work is not the rent number though, it is the appraisal.

You are running a 310k ARV on a property bought and rehabbed for 260k total. That spread is the entire engine. If the appraiser comes in at 280k instead of 310k, your 75 percent cash-out pulls 210k, not 232k. You have now left 50k in the deal instead of 28k, and the recycling velocity collapses before you reach deal two. ARV variance of 10 percent on one property can strand an extra 22k permanently, which is most of what you budgeted to leave in the deal by design.

The mixed portfolio structure you described is interesting, but it introduces a second appraisal problem. Single-family refinance comps in stronger rent-to-price markets are often cleaner, as you noted, but the rent-to-price ratio that makes them attractive for recycling tends to mean thinner cash flow per door. If the fourplexes are doing the income work and the singles are doing the capital-return work, a soft comp environment on the singles stalls the whole cycle at exactly the moment you need capital flowing to the next fourplex.

The risk you did not name is seasoning. Most conventional lenders require six to twelve months of ownership before they will do a cash-out refinance at full ARV. Some portfolio lenders move faster, but at rates that shift the debt service numbers you have already modeled. Confirm current seasoning requirements and cash-out LTV caps with your lender in writing before you commit rehab dollars to deal two, because the timeline assumption affects how long 140k of working capital is tied up between cycles.

What is your current plan for bridging the gap between rehab completion and the refinance close, and are you modeling that carry cost into the 28k left-in-deal figure?

The math here is solid and the two assumptions you flagged, rent and refinance rate, are exactly where most models break before the investor notices.

One thing worth adding: the rent-to-price ratio (gross monthly rent divided by purchase price, so a property bought for $100,000 renting for $1,000 per month is a 1% ratio) is a useful first filter, but it does not survive contact with the actual debt service. A single-family home in a market where that ratio looks attractive can still produce weak cash flow if the refinance appraisal comes in conservative, because you end up with a larger loan relative to the rent the property can support.

Your point about underwriting at hoped-for rates rather than current rates is the one I see cause the most damage in practice. The debt service number is the only input in a BRRRR model that is essentially fixed the day you close the refi. Rent, vacancy, and expenses can move in your favor over time. The note payment does not.

I want to be clear that everything here is a starting point, not a projection. The 2027 outlook in the strategy guide describes the passive BRRRR approach as steady but constrained by the refinance environment, and that framing fits what your model is showing.

A question back to you: are you stress-testing each deal independently before assuming the recycled capital lands on schedule for deal two, or does your timeline assume deal one closes and refinances cleanly before deal two starts?