Heritage Global Inc (HGBL) Fair Value & Analysis
Financial Services · US · Market cap $43.4M
Fair value as of: Jun 26, 2026
Analysis
Heritage Global Inc (HGBL) currently trades at $1.25, while our model-based Fair Value estimate is $1.76 — implying the stock looks roughly 40.8% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: high) — always confirm before acting.
About the company
Heritage Global Inc., together with its subsidiaries, operates as an asset services company with focus on financial and industrial asset transactions in the United States. It operates through three segments: Auction and Liquidation, Refurbishment and Resale, Brokerage, and Specialty Lending. The company offers a suite of market making, acquisitions, refurbishment, dispositions, valuations, and secured lending services. It is also involved in identifying, valuing, acquiring, and monetizing underlying tangible assets. In addition, the company acts as an adviser, as well as a principal, acquiring, or brokering manufacturing facilities; surplus industrial machinery and equipment; industrial inventories; and charged-off receivable portfolios. The company was formerly known as Counsel RB Capital Inc. and changed its name to Heritage Global, Inc. in August 2013. Heritage Global, Inc. was founded in 1937 and is headquartered in San Diego, California.
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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.