The rent roll is the single most revealing document in a self storage deal, and the unit mix behind it explains why a facility fills up or stalls. This guide walks through both, column by column.

Key takeaways

• A self storage rent roll is a unit-by-unit list exported from property management software such as SiteLink, storEDGE or Easy Storage Solutions, showing every unit, its size, its tenant, and what that tenant actually pays.
• Physical occupancy counts rented square feet, while economic occupancy compares collected rent to what the facility would earn if every unit were full at asking rates, and the gap between them is where most overstated valuations hide.
• Any tenant whose paid-through date is more than 30 days in the past should be treated as a vacancy in waiting rather than as occupied income, because in most states that unit is already moving toward a lien sale.
• Unit mix matters as much as occupancy: small units rent for more per square foot than large ones, and a mix built for apartment renters will underperform in a single-family suburb where tenants want 10×20 drive-up space.

What a self storage rent roll actually is

A rent roll is a list of every rentable unit at a facility, one row per unit, exported from the property management software the operator uses to run the business. The dominant US packages are SiteLink and storEDGE (both part of Storable), Easy Storage Solutions and Tenant Inc., and most export the same core report under slightly different names. Unlike an apartment rent roll, a storage rent roll routinely runs 400 to 900 rows for a single facility, because storage sells small spaces in volume.

That length is the point. Everything a buyer wants to know about revenue quality is in those rows: who is paying, how much, for how long, and how far their rent has drifted from what a new customer would be quoted today. A trailing twelve month profit and loss statement summarizes the past; the rent roll describes the present, on the day it was pulled. It should be requested as a native spreadsheet export rather than a formatted PDF, which is far easier to edit or assemble by hand, and refreshed at least monthly through the contract period.

What each column on the rent roll means

Unit number identifies the physical space and usually encodes the building and floor. Size is given in feet, such as 10×10, and should be paired with a square footage figure, because a unit sold as 10×10 is often 9.5 feet wide once framing is counted. Type describes the product: climate controlled, non climate controlled, drive-up, interior, upper floor, or parking. Two units of identical size and different type are different products at different prices, so any analysis grouping by size alone will mislead.

Tenant name and move-in date establish who occupies the unit and since when, and current rate is what that tenant is billed today. Street rate, sometimes labeled standard or asking rate, is what the software would quote a new customer for the same unit right now. Paid-through date is the last day covered by money already received, and balance is what the tenant owes as of the export date, best read alongside that date rather than on its own. Some exports add columns for promotional discounts, protection plan enrollment, autopay status, and the date of the tenant’s most recent rate increase. Terms appearing here are defined in more depth in the Storage 101 terminology guide.

Physical occupancy, economic occupancy, and the street rate gap

Physical occupancy is the share of units, or more usefully the share of rentable square feet, currently rented. Square foot occupancy is the better measure because a facility can rent 90 percent of its units while leaving its large, high-revenue spaces empty. Economic occupancy compares rent actually collected to gross potential rent, meaning what the facility would collect if every unit were occupied at today’s street rate. A property at 92 percent physical and 74 percent economic occupancy is signaling that in-place rents sit well below what the software thinks the space is worth.

Both numbers come out of the rent roll with basic spreadsheet work. Summing occupied square footage and dividing by total rentable square feet gives physical occupancy; summing the current rate column and dividing by the sum of street rates across all units, occupied and vacant, gives economic occupancy. The distance between the two, often called the loss to lease, is the most argued figure in a storage transaction: sellers present it as upside a buyer can capture, buyers as evidence that trailing revenue is not what it appears.

Neither view is automatically right. A wide gap can mean a disciplined operator who has held rate increases back to protect occupancy, or street rates the software has quietly inflated because nothing has rented at that price in months. The test is whether recent move-ins, meaning tenants who signed within the last 60 to 90 days, are paying near the posted street rate. If new customers are coming in 20 percent below the asking rate, that rate is aspirational and any valuation built on it is overstated. This is where rent roll work feeds directly into the income approach described in how self storage facilities are valued.

Tenure, rate increases, and the churn hiding in long-stay tenants

Sorting the rent roll by move-in date produces a tenure distribution, which carries more information than almost any other cut of the data. A mature, well-run facility shows a long tail: tenants in place for two, five or ten years alongside a steady flow of recent move-ins. Storage tenants are famously sticky, and average length of stay is commonly cited at one to two years, with a long-tenured minority staying far longer.

Long-tenured tenants paying well below street rate present two things at once. They are the clearest opportunity for existing customer rate increases, known as ECRIs, which operators typically apply once or twice a year in increments of roughly 5 to 15 percent. They are also the largest concentrated churn risk in the building, because a tenant who has paid the same rate for six years reacts differently to a 12 percent increase than one who moved in last spring. A buyer underwriting aggressive ECRIs on a long-tenured base is underwriting both the revenue and the move-outs that follow, and only one of those usually appears in the model.

The date of last rate increase, when the export includes it, sharpens this considerably. A roll where hundreds of tenants have gone 18 months or more without an increase suggests real embedded upside, while one showing most tenants raised within the last 90 days suggests the seller has already harvested it.

Delinquency and paid-through dates

The paid-through date converts an occupancy figure into a collections figure. A unit shown as occupied whose paid-through date passed 45 days ago is not producing income, and in most states it has already entered the lien process. In Texas, Chapter 59 of the Property Code governs the self service storage facility lien and sets out the notice and sale procedure, and comparable statutes exist across the Sunbelt. A seriously delinquent unit is on a clock toward auction, not toward payment.

Conventional practice is to build a delinquency aging schedule from the rent roll: current, 1 to 30 days, 31 to 60, 61 to 90, and over 90. Anything past 30 days is best treated as a vacancy in waiting and stripped out of occupancy before valuing the property. Healthy facilities generally run total delinquency in the low single digits as a share of units, and a property showing 8 or 10 percent of units past 30 days is either poorly managed, in a stressed submarket, or holding units open that should have gone to auction months ago. The mechanics of that schedule are covered in the article on delinquency aging and lien sales in due diligence.

Unit mix and whether it matches the trade area

Unit mix is the composition of a facility by size and type. The standard US sizes are 5×5, 5×10, 10×10, 10×15, 10×20 and 10×30, with 10×10 serving as the industry’s reference unit. A common modern mix places roughly a quarter to a third of square footage in 10x10s, meaningful shares in 10×15 and 10×20, and smaller allocations to 5×5 and 5×10 spaces. Climate controlled share varies by climate and vintage: in humid Texas and Gulf Coast markets, newer multi-story facilities are frequently 70 percent climate controlled or more, while older single-story properties may have none.

Drive-up units, where a tenant parks at the door, command a premium for convenience and are favored by contractors and small businesses, while interior and upper-floor units rent for less and lease more slowly. Vehicle, boat and RV parking is a separate product line, cheap to build and cheap per square foot, and highly dependent on local zoning and on whether nearby homeowner associations prohibit street parking of trailers.

The mix should answer the trade area. Dense apartment submarkets generate demand for 5×5 and 5×10 climate controlled units from renters storing furniture between leases. Single-family suburbs on the edge of Dallas-Fort Worth or Houston want 10×15 and 10×20 drive-up space, plus boat and RV parking. Rural Texas markets skew toward large drive-up units, with limited appetite for climate control at a premium. A facility built with the wrong mix shows weak occupancy in one size band and waiting lists in another, and correcting it means construction, not a pricing change.

Rate per square foot and occupancy by size

Dividing rent by square footage produces the rate per square foot, and the pattern holds in nearly every US market: small units rent for substantially more per foot than large ones, with a 5×5 often at two to three times the per-foot rate of a 10×30. The customer is buying a solution rather than an area, and the fixed costs of a rental, the paperwork, the door, the lock, the collections effort, do not shrink with the unit. A facility weighted toward small units shows a higher blended rate per foot, but it also churns more.

Occupancy broken out by unit size is a direct read on what the local market wants. If 10x10s are 98 percent occupied while 10x20s sit at 70 percent, the property is short on medium units and long on large ones, and pricing should reflect that immediately even if the physical mix cannot change. The reverse pattern often shows up in facilities built for a residential customer in a market driven by commercial users. Size-level occupancy is also the most reliable early indicator during lease-up, when a new facility’s overall occupancy number is too small to mean much.

Red flags and reconciling the rent roll to the money

Several patterns deserve attention before anything else. Units renting at $1 or $0 are usually promotional first-month specials, employee units, or the owner’s own storage, and all three inflate physical occupancy without producing income. Duplicated tenant names can be legitimate, a contractor with six spaces, or a related party filling the building, and rows labeled “company,” “office” or “manager” should be excluded from occupied square footage. A cluster of discounted move-ins in the two or three months before a listing is a well-known way of dressing a property for sale, and those tenants frequently leave within 90 days of closing.

The rent roll then has to be tied to actual money. Totaling the current rate column gives an expected monthly revenue figure, which should reconcile within a reasonable margin to the revenue line on the profit and loss statement and to the deposits shown on 12 months of bank statements. Discrepancies have ordinary explanations, including prepaid rent, insurance commissions, late fees and merchandise sales, but a roll implying materially more revenue than the bank ever received is the clearest signal in due diligence that it has been edited. The same discipline applies on the cost side, where reported expenses should be checked against invoices and tax records.

What this means for a newcomer

A rent roll is not a formality to be skimmed on the way to the offering memorandum’s summary page. It is the primary source document for a storage acquisition, and nearly every material surprise a buyer meets after closing was visible in it beforehand: occupancy that turns out to be delinquency, street rates no customer has actually paid, revenue that depends on rate increases the seller already took, and a unit mix aimed at a customer who lives somewhere else.

The work is unglamorous and largely arithmetic. Sort by move-in date, sort by paid-through date, group by size and type, compare current rate to street rate, and total the result against the bank statements. Where the numbers disagree with the story, the numbers are usually right, and the useful response is a specific question rather than a walk-away. Sellers with clean operations answer quickly, often with a fresh export. Sellers who cannot explain why 40 units are paying a dollar have answered in a different way.

This is part 5 of the Storage 101 series. Previous: How Self Storage Facilities Are Valued. Next: Development vs. Conversion vs. Acquisition. See the full series at Storage 101.