Rekor Systems (REKR) Projected to Announce Quarterly Earnings on Thursday

Rekor Systems (NASDAQ:REKR) is expected to post its Q3 2026 resultson Thursday, November 12th. Analysts expect Rekor Systems to post earnings of ($0.02) per share and revenue of $14.10 million for the quarter. Individuals are encouraged to explore the company’s upcoming Q3 2026 earnings summary page for the latest details on the call scheduled for Thursday, November 12, 2026 at 4:30 PM ET.

Rekor Systems (NASDAQ:REKR) last issued its quarterly earnings data on Thursday, August 13th. The company reported ($0.00) EPS for the quarter, topping the consensus estimate of ($0.03) by $0.03. Rekor Systems had a negative return on equity of 59.05% and a negative net margin of 43.84%. The business had revenue of $12.66 million for the quarter, compared to the consensus estimate of $12.61 million. On average, analysts expect Rekor Systems to post ($0.11) EPS for the current fiscal year and ($0.03) EPS for the next fiscal year.

Rekor Systems Price Performance

NASDAQ:REKR opened at $0.36 on Thursday. Rekor Systems has a 1 year low of $0.22 and a 1 year high of $2.35. The stock has a 50-day moving average price of $0.40 and a two-hundred day moving average price of $0.71.

Analyst Ratings Changes

Separately, Weiss Ratings raised Rekor Systems from a “sell (e+)” rating to a “sell (d-)” rating in a research report on Monday, September 21st. One analyst has rated the stock with a Sell rating. According to MarketBeat.com, the company currently has a consensus rating of “Sell”.

Rekor Systems Company Profile

Rekor Systems, Inc (NASDAQ: REKR) is a technology company that develops artificial intelligence and machine-learning solutions for roadway intelligence, public safety, and transportation management. Its software analyzes data from cameras and other sources to help government agencies, law enforcement organizations, transportation departments, and commercial customers understand and manage vehicle movement.

The company’s Rekor One platform is designed to combine roadway data from multiple sources and provide tools for vehicle identification, traffic analytics, incident detection, and operational decision-making.