Q1 2024 Earnings Forecast for MultiSensor AI Holdings, Inc. Issued By Roth Capital (NASDAQ:MSAI)

MultiSensor AI Holdings, Inc. (NASDAQ:MSAIFree Report) – Equities researchers at Roth Capital issued their Q1 2024 earnings per share (EPS) estimates for MultiSensor AI in a report released on Monday, April 15th. Roth Capital analyst G. Sweeney forecasts that the company will post earnings of ($0.05) per share for the quarter. Roth Capital also issued estimates for MultiSensor AI’s Q2 2024 earnings at ($0.03) EPS, Q3 2024 earnings at $0.01 EPS, Q4 2024 earnings at $0.05 EPS, FY2024 earnings at ($0.02) EPS, FY2025 earnings at $0.23 EPS and FY2026 earnings at $0.36 EPS.

Separately, Roth Mkm began coverage on MultiSensor AI in a report on Monday. They set a “buy” rating and a $8.00 price objective for the company.

View Our Latest Stock Report on MSAI

MultiSensor AI Stock Down 11.0 %

Shares of NASDAQ:MSAI traded down $0.31 during trading on Wednesday, reaching $2.50. 25,178 shares of the stock were exchanged, compared to its average volume of 184,940. MultiSensor AI has a 12 month low of $1.89 and a 12 month high of $14.00. The company’s 50-day moving average is $2.68.

Institutional Investors Weigh In On MultiSensor AI

A hedge fund recently bought a new stake in MultiSensor AI stock. Sanders Morris Harris LLC purchased a new stake in MultiSensor AI Holdings, Inc. (NASDAQ:MSAIFree Report) in the first quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The fund purchased 445,195 shares of the company’s stock, valued at approximately $1,006,000. Sanders Morris Harris LLC owned approximately 8.59% of MultiSensor AI at the end of the most recent quarter. 82.32% of the stock is currently owned by hedge funds and other institutional investors.

About MultiSensor AI

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MultiSensor AI Holdings, Inc manufactures and distributes multi-sensor systems for thermographic and other use in various industrial applications in the United States and internationally. The company offers sensor devices ranging from small to large handheld designs with built-in displays and controls, fixed-mounted pan-tilt-zoom single- and multi-sensor camera standalone systems, and mobile multi-sensor payload and gimbal systems for unmanned aerial vehicles and unmanned ground vehicles.

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