Presidio Property Trust, Inc (SQFT) Fair Value & Analysis
Real Estate · US · Market cap $3.4M
Fair value as of: Jun 26, 2026
Analysis
Presidio Property Trust, Inc (SQFT) currently trades at $2.55, while our model-based Fair Value estimate is $6.38 — implying the stock looks roughly 150.2% undervalued today. We read business quality at 86/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Presidio Property Trust, Inc. is an internally managed real estate investment trust (REIT). In October 2017, we changed our name from NetREIT, Inc. to Presidio Property Trust, Inc. We are a publicly traded company on Nasdaq, and registered under the Securities Exchange Act of 1934, as amended (the Exchange Act). Through the Company, its subsidiaries and its partnerships, we own 10 commercial properties in fee interest and have partial interests in two commercial properties through our interests in various affiliates in which we serve as general partner, member and/or manager. Each of the limited partnerships is referred to as a DownREIT. In each DownREIT, we have the right, through put and call options, to require our co-investors to exchange their interests for shares of our Series A Common Stock, or our common stock, at a stated price after a defined period (generally five years from the date they first invested in the entity's real property), the occurrence of a specified event o…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.