When a seller pro forma assumes rent growth on the back of a housing thaw, what belongs in the model
Take a 212-unit self-storage facility, 24,600 net rentable square feet, 89 percent physical and 81 percent economic occupancy, priced to imply roughly a 6.1 cap on trailing twelve months, which is reasonable on its face. The harder question sits in the forward assumptions. Say a seller's broker underwrites street rate growth at 4 percent in year two and 4 percent again in year three, with the stated rationale being the housing market unfreezing and relocation demand returning. That is a real mechanism, and industry data on rent growth slowing into 2026 with a gradual, uneven recovery supports the direction of the argument without supporting the magnitude. Running three cases on a deal like this is the right instinct. Flat street rates for 24 months with only existing tenant increases might put year-five value 10 to 12 percent below asking. Roughly inflation-level growth around 2 percent might land right at asking with no margin. Four percent growth might produce a meaningful spread to a buyer's hurdle rate, which is exactly the spread a broker wants a buyer to focus on. The honest framing is that the whole trade becomes a bet on the timing of a housing market shift that neither the buyer nor the broker has any real edge in predicting. What a buyer can price with more confidence is the counterweight: households that cannot upsize and rent a storage unit instead, which shows up in tenure data as rising average length of stay, evidence of revenue durability that does not depend on rate growth at all. Flat assumptions are the only ones defensible in writing to a partner or investment committee, even though that same discipline means passing on most self-storage deals for an extended stretch. That tradeoff, discipline against deal flow, is the real decision underneath the modeling exercise.
What street rate growth are you putting in a storage model for the next 24 months?
21 votes