MultiSensor AI (MSAI) Projected to Release Quarterly Earnings on Thursday

MultiSensor AI (NASDAQ:MSAI) is anticipated to release its results before the market opens on Thursday, November 12th. Analysts expect the company to announce earnings of ($1.23) per share and revenue of $2.10 million for the quarter.

MultiSensor AI (NASDAQ:MSAI) last released its quarterly earnings results on Thursday, August 13th. The company reported ($1.19) EPS for the quarter, topping the consensus estimate of ($1.20) by $0.01. MultiSensor AI had a negative return on equity of 36.08% and a negative net margin of 141.70%. The company had revenue of $1.70 million during the quarter, compared to analyst estimates of $2.10 million. On average, analysts expect MultiSensor AI to post ($4.67) EPS for the current fiscal year and ($2.33) EPS for the next fiscal year.

MultiSensor AI Price Performance

Shares of MSAI stock opened at $3.17 on Thursday. The company has a market cap of $7.01 million, a PE ratio of -0.56 and a beta of -0.17. MultiSensor AI has a 1 year low of $3.14 and a 1 year high of $60.00. The stock’s 50 day simple moving average is $4.47 and its two-hundred day simple moving average is $6.93.

Analysts Set New Price Targets

Separately, Weiss Ratings reissued a “sell (e+)” rating on shares of MultiSensor AI in a research report on Monday, September 21st. One equities research analyst has rated the stock with a Hold rating and one has given a Sell rating to the company’s stock. Based on data from MarketBeat, MultiSensor AI currently has an average rating of “Reduce”.

MultiSensor AI Company Profile

MultiSensor AI is a technology company that develops artificial intelligence-enabled sensing and inspection solutions for industrial and commercial applications. Its platforms combine data from multiple sensor types, including thermal, visual and acoustic sensors, to help organizations identify equipment problems, monitor operating conditions and improve maintenance processes.

The company’s products and services are designed to support applications such as predictive maintenance, infrastructure monitoring, industrial inspection and facility management.