Market research
LNZA LanzaTech Global Inc.
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 67M
- P/E ratio
- 0.28
- Analyst target
- 15
- Dividend yield
- Not available
- Beta
- 1.36
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Waste Management
- ISIN
- Not available
- Market cap
- 67M
- P/E ratio
- 0.28
- Analyst target
- 15
- Dividend yield
- Not available
- Beta
- 1.36
About
About LanzaTech Global Inc.
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.
Research context
LanzaTech Global Inc. appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Industrials
- Industry
- Waste Management
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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