Market research
LSAK Lesaka Technologies Inc
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 382M
- P/E ratio
- 148.33
- Analyst target
- 14
- Dividend yield
- Not available
- Beta
- 0.36
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Infrastructure
- ISIN
- Not available
- Market cap
- 382M
- P/E ratio
- 148.33
- Analyst target
- 14
- Dividend yield
- Not available
- Beta
- 0.36
About
About Lesaka Technologies Inc
Lesaka Technologies, Inc. provides financial technology solutions in South Africa and internationally. It operates in three segments: Merchant, Consumer, and Enterprise. The company offers payment acceptance, software, cash management, lending, and alternative digital product solutions to community and corporate customers; banking, lending, and insurance solutions to consumers, principally recipients of social welfare grants; and payment processing, prepaid solutions, and bill payment infrastructure connecting enterprises to consumers and businesses. It serves corporate and government organizations, including banks, mobile network operators, and municipalities. The company was formerly known as Net 1 UEPS Technologies, Inc. and changed its name to Lesaka Technologies, Inc. in May 2022. Lesaka Technologies, Inc. was founded in 1989 and is headquartered in Johannesburg, South Africa.
Research context
Lesaka 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
- Technology
- Industry
- Software - Infrastructure
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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