Market research
BMNR BitMine Immersion Technologies, Inc.
NYSE USD Financial Services
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 13B
- P/E ratio
- Not available
- Analyst target
- 45.8667
- Dividend yield
- 0.0%
- Beta
- 1.91
Profile
Instrument facts
- Exchange
- NYSE
- Currency
- USD
- Sector
- Financial Services
- Industry
- Capital Markets
- ISIN
- Not available
- Market cap
- 13B
- P/E ratio
- Not available
- Analyst target
- 45.8667
- Dividend yield
- 0.0%
- Beta
- 1.91
About
About BitMine Immersion Technologies, Inc.
Bitmine Immersion Technologies, Inc. operates as a blockchain technology company primarily in the United States. The company engages in ETH treasury operations; BTC ecosystem services, including consulting and advisory engagements and equipment leasing; facilitation and optimization of third-party power and hosting arrangements; and disciplined BTC treasury management while winding down proprietary self-mining exposure and deferring new site buildouts. It also offers digital asset ecosystem services, including consulting/advisory, and disciplined digital asset treasury management. In addition, the company sells mining equipment to customers and related parties. The company was formerly known as Sandy Springs Holdings Inc. Bitmine Immersion Technologies, Inc. was incorporated in 2019 and is based in Las Vegas, Nevada.
Research context
BitMine Immersion Technologies, 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
- Financial Services
- Industry
- Capital Markets
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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