Financial research concept

Self-Storage Development and Expansion Pipeline Square Feet

Self-storage development and expansion pipeline square feet measure future rentable area expected from projects in progress, helping investors assess organic portfolio growth and remaining capital needs.

By Lee BaileyPublished Sep 20, 2026
Research context

See what supports this page, how current it is, and where comparable or historical context is available.

Research date
Sep 20, 2026Use the dated article and cited sources for the definition, examples, and stated limitations.
Operating-model context
12 connected conceptsPart of the reviewed Self-Storage Operating Model; issuer definitions remain distinct where disclosed.
Company examples
1 reviewed companyRelationships reflect supported examples, not a normalized cross-company KPI ranking.

Self-storage development and expansion pipeline square feet measure the net rentable area expected from active ground-up developments and expansion projects under the issuer's stated pipeline.

It is a future owned-capacity measure, not current rentable inventory.

Pipeline square feet show physical growth being built

Public Storage reported development and expansion projects expected to add 3.5 million net rentable square feet at March 31, 2026.

Those projects carried an estimated aggregate cost of approximately $618.4 million, with $415.7 million of remaining costs expected primarily over the following 18 to 24 months.

The metric therefore connects future physical capacity with a visible capital requirement.

Development differs from acquisition growth

A development pipeline requires construction, entitlement, lease-up, and stabilization before it reaches mature economics.

Acquired facilities generally enter the portfolio much further along that path.

Keeping the two growth channels separate helps investors understand timing and risk.

Not every announced square foot is guaranteed

Projects can face permitting, construction, financing, utility, or market constraints.

Public Storage notes that some development projects are subject to contingencies such as entitlement approval.

Primary-source examples

Self-storage development and expansion pipeline square feet are most useful as a future owned-capacity and capital-deployment measure. Pair them with remaining development cost, expected delivery timing, acquisitions, and lease-up performance.

Part of the Self-Storage Operating Model

Connect move-in and move-out pricing, churn, occupancy, same-store NOI growth and margin, rent per occupied square foot, tenant reinsurance, acquisitions, development pipeline, and third-party management scale to understand self-storage economics and portfolio growth.

How the model fits together
  • Customer acquisition, retention, and occupancy: Move-in contract rent shows the price offered to new customers, while move-out contract rent shows the rate paid by departing customers after in-place increases. Same-store churn captures customer turnover, and same-store occupancy shows how those flows translate into stabilized space utilization.
  • Property and ancillary economics: Same-store NOI growth captures stabilized property-level revenue and expense performance, while tenant reinsurance adds a separate ancillary revenue and profit stream tied to insured tenants. Neither measure should be treated as a substitute for occupancy or customer pricing.
  • Portfolio scale, margin, and external growth: Same-store rent per occupied square foot and same-store NOI margin add current monetization and property-margin context. Acquired net rentable square feet and development-and-expansion pipeline square feet show owned portfolio growth, while third-party managed store count and rentable square feet show fee-based platform reach beyond the consolidated portfolio. These issuer-defined measures add portfolio-scale and growth context rather than forming a standardized cross-company formula.

See It in Company Research

These companies are examples of how the concept is reported or discussed in public filings. Definitions can differ by issuer; these links open company research rather than a normalized metric comparison.

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