Market research
RIME Algorhythm Holdings, Inc.
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 3M
- P/E ratio
- Not available
- Analyst target
- 5
- Dividend yield
- Not available
- Beta
- -0.11
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Consumer Electronics
- ISIN
- Not available
- Market cap
- 3M
- P/E ratio
- Not available
- Analyst target
- 5
- Dividend yield
- Not available
- Beta
- -0.11
About
About Algorhythm Holdings, Inc.
Algorhythm Holdings, Inc., together with its subsidiaries, operates as an AI technology and consumer electronics holding company in India. The SemiCab uses real-time data from API-based load tendering and pre-built integrations with TMS and ELD partners to orchestrate collaboration across manufacturers, retailers, distributors, and their carriers. It uses AI/ML predictions and advanced predictive optimization models to enable fully loaded round trips. It also develops renewable energy plants. In addition, it operates as a project development and advisory firm that develops bankable, firm-capacity renewable infrastructure built on its pyrolysis-to-power process. Algorhythm Holdings, Inc. was formerly known as The Singing Machine Company, Inc. and changed its name to Algorhythm Holdings, Inc. in September 2024. Algorhythm Holdings, Inc. was incorporated in 1982 and is based in Fort Lauderdale, Florida.
Research context
Algorhythm Holdings, 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
- Technology
- Industry
- Consumer Electronics
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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