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ONL (ONL) Fair Value & Analysis

Real Estate · US · Market cap $163M

Price$2.74
Fair Value$6.85
Upside+150.0%
Quality95/100
Evidence: Low Range $3.57 – $10.13

Fair value as of: Jun 26, 2026

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Analysis

ONL (ONL) currently trades at $2.74, while our model-based Fair Value estimate is $6.85 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.

About the company

Orion Office REIT specializes in the ownership, acquisition and management of a diversified portfolio of mission-critical and corporate headquarters office buildings in high-quality suburban markets across the U.S. The portfolio is leased primarily on a single-tenant net lease basis to creditworthy tenants. The company's team of experienced industry leaders employs a proven, cycle-tested investment evaluation framework which serves as the lens through which capital allocation decisions are made for the current portfolio and future acquisitions.

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Frequently asked questions

Is ONL (ONL) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $6.85 versus a price of $2.74 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ONL?
Our 21-model fair value for ONL is $6.85 (as of Jun 26, 2026), built from audited fundamentals. The current price is $2.74.
What is the quality score of ONL?
ONL has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.