Aspen Aerogels, Inc (ASPN) Fair Value & Analysis
Industrials · US · Market cap $501M
Analysis
Aspen Aerogels, Inc (ASPN) currently trades at $5.90, while our model-based Fair Value estimate is $5.12 — implying the stock looks roughly 13.2% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Aspen Aerogels, Inc., an aerogel technology company, designs, develops, manufactures, and sells aerogel materials primarily for use in the energy industrial, sustainable insulation materials, and electric vehicle (EV) markets in the United States, Canada, Asia, Europe, and Latin America. It operates through two segments: Thermal Barrier and Energy Industrial. The company offers PyroThin aerogel thermal barriers for use in battery packs in EVs; Pyrogel XTE for refineries and petrochemical facilities; Pyrogel HPS for high temperatures and in demanding thermal applications in refining and chemical processing systems; Pyrogel XTF for protection against fire; Cryogel Z for sub-ambient and cryogenic applications; Spaceloft Subsea for pipe-in-pipe applications in offshore oil production; and Cryogel X201 for cold system designs. It serves EV manufacturers, automotive suppliers, lithium-ion battery manufacturers, and e-mobility and energy storage companies. The company was founded in 2001 a…
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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.