A case study in why floating debt and an underwritten expense ratio broke a rural self-storage roll-up

Worth studying as a case: a nine-facility rural self-storage aggregation vehicle, populations 8,000 to 30,000, average purchase price around $1.4M per facility. Total raise $6.2M against $13.8M of bridge debt, floating rate, three year term with two one-year extension options, 8 percent preferred return, no promote until a 1.6x multiple. What the sponsor underwrote: a 62 percent expense ratio at acquisition dropping to 38 percent by year two, driven by a single management platform, remote leasing, kiosks at the smaller sites, and centralized call handling, alongside occupancy climbing from an average 74 percent to 88 percent. What actually happened: the expense ratio landed at 57 percent in year one and 54 percent in year two, never approaching 38 percent. Occupancy reached 81 percent and stalled. Distributions ran at the 8 percent preferred rate for five quarters, dropped to 4 percent in quarter six, and stopped entirely by month fourteen. The floating debt did what floating debt does under stress. The extension carried a fee and a rate cap purchase, real cash out the door, and the lender's cash management arrangement swept collections in a way that ended any distribution conversation. A capital call in the range of two million dollars went out around month twenty-two; investors who passed saw meaningful dilution. A later partial sale of the portfolio can close at a blended cap rate above 9 percent on in-place NOI that is lower than the NOI at acquisition, meaning recovered capital falls well short of what was invested, with remaining unsold assets reasonably treated as impaired until proven otherwise. The lesson for anyone evaluating a similar roll-up: ask for the sponsor's actual expense ratios on comparable existing rural facilities, by property, before accepting a projected number that drops that far. And treat floating rate debt with a three year term as a poor match for a lease-up story that realistically needs four years to play out.

laurenkim53 PF4APRO 14

Answer

derekj19ServicePRO

I want to push back gently on where the failure sits, because I think the expense ratio was a symptom.

The strategy was operational efficiency across many facilities. Efficiency at scale is real, and it works because a platform's fixed cost, the software license, the call center seat, the revenue management team, the regional manager, gets divided across enough revenue to disappear into the rounding. That's the whole mechanism. The denominator has to be big.

Nine facilities at roughly $180k of revenue each is $1.6M of portfolio revenue. A centralized platform with revenue management and a call center costs a meaningful fraction of that no matter how well it's run, and the platform serving nine rural sites has the same overhead as one serving forty. So the sponsor took an institutional playbook, which needs the denominator, and applied it to a portfolio a quarter of the size that playbook requires. The 38% wasn't a bad estimate, it was a number copied from a class of portfolio this wasn't.

Which means @laurenkim53, the diligence question that would have caught everything was not really about the expense ratio. It was: what is the smallest portfolio you have ever run this platform on profitably, and what were its actual results. If the answer is forty suburban facilities, the model has never met your deal.

The floating debt turned a slow disappointment into a wipeout, and I'd separate those. Bad basis on the operating assumption is what killed the equity. The rate cap and the sweep just set the date.

derekj19ServicePRO

5 replies

karen_whitfieldPassivePRO

The 74% to 88% occupancy assumption is the piece I'd have stumbled on first. In a town of 9,000 people, the reason a facility sits at 74% is often that 74% is the demand. Nine facilities in nine small markets and every one of them assumed to have 14 points of hidden demand waiting for better management is nine independent bets that the previous owner was the problem. Some of them were, surely. Not all nine.

Sorry it cost you $54k to learn. It's a clean lesson though, which is more than most losses give you.

karen_whitfieldPassivePRO

gregpowell66 AC4BPRO 19

Kiosks and remote leasing at a 300 unit facility in a small town are a construction and hardware line item that also needs somebody to drive out when the gate controller dies. Travel time is consistently the expense that gets left out of the model. Nine sites spread across a region means a district manager in a truck four days a week, and that is fuel, hours, and a vehicle, all sitting in the line that was supposed to fall by 24 points.

gregpowell66 AC4BPRO 19

tonyv88 PU4APRO 10

Centralized management drops expense ratios on facilities that are big enough to spread the fixed cost. A $1.4M facility does maybe $180k of gross revenue. A 38% expense ratio on that is $68k of total operating cost including property tax, insurance, utilities, and payroll. In a lot of counties the tax and insurance alone eat half of that before anyone answers a phone. A number like that is arithmetically unreachable, and it can be checked in ten minutes against one facility's tax bill and insurance quote. Property tax practice and reassessment on sale vary by state, so anyone checking this should pull the actual assessor record for the specific county rather than assuming.

tonyv88 PU4APRO 10

mitchell_ray4ServicePRO

@derekj19 that framing is the useful part of the thread. Small sites carry the same overhead per site and less revenue to hide it in.

@laurenkim53 one practical add. When you get a capital call and you pass, ask for the pro forma of the vehicle assuming the call is fully funded and assuming it isn't. Sponsors will produce it if you ask. If the funded case still doesn't clear the debt, dilution isn't a decision you needed to agonize over, and it sounds like that was your situation.

mitchell_ray4ServicePRO

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