LanzaTech Global, Inc (LNZA) Fair Value & Analysis
Industrials · US · Market cap $78.5M
Fair value as of: Jun 23, 2026
Analysis
LanzaTech Global, Inc (LNZA) currently trades at $6.23, while our model-based Fair Value estimate is $8.53 — implying the stock looks roughly 36.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
LanzaTech Global, Inc. operates as a nature-based carbon refining company in North America, Europe, the Middle East, Africa, and Asia. It develops technology that transforms waste carbon into chemical building blocks for transportation fuels, household cleaners, packaging materials, fibers for clothing, and fragrances. The company's gas fermentation technology platform converts waste carbon gases into ethanol and its derivative products. It also provides techno-economic feasibility studies; basic engineering design services for commercial plants; and biotechnology research and development services for commercial and government entities. In addition, the company licenses and sells biocatalysts, such as microbes and media. Further, it provides fuel-grade ethanol under the CarbonSmart brand; and protein-rich byproducts, which are used as industrial protein, animal and fish feed, and fertilizers. LanzaTech Global, Inc. was founded in 2005 and is headquartered in Skokie, Illinois.
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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.