Market research
WKSP Worksport Ltd
NASDAQ USD Consumer Cyclical
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 2
- Dividend yield
- Not available
- Beta
- 0.41
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Consumer Cyclical
- Industry
- Auto Parts
- ISIN
- Not available
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 2
- Dividend yield
- Not available
- Beta
- 0.41
About
About Worksport Ltd
Worksport Ltd., together with its subsidiary, designs and distributes truck tonneau covers in the United States and internationally. It operates through Hard Tonneau Covers and Soft Tonneau Covers segments. The company offers soft tonneau covers, such as vinyl wrapped tri- and quad-fold tonneau covers; and hard tonneau covers, including tri- and quad-fold aluminum covers. It also provides SOLIS, a solar-integrated tonneau cover designed to combine cargo protection with on-vehicle renewable power generation; COR, a portable energy storage system designed to store and deliver electrical power for mobile, off-grid, and backup power applications; and the AetherLux Pro designed as a combined cooling, heating, and power (CCHP) system that redefines energy efficiency in cold climates. The company serves its products to automotive accessories, consumer electronics, and residential and commercial HVAC system markets. Worksport Ltd. is based in West Seneca, New York.
Research context
Worksport Ltd 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
- Consumer Cyclical
- Industry
- Auto Parts
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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