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

MultiSensor AI Holdings, Inc. (NASDAQ:MSAIFree Report) – Stock analysts at Roth Capital issued their Q1 2024 earnings per share (EPS) estimates for shares of MultiSensor AI in a note issued to investors on Monday, April 15th. Roth Capital analyst G. Sweeney forecasts that the company will post earnings per share of ($0.05) 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 started coverage on MultiSensor AI in a report on Monday. They issued a “buy” rating and a $8.00 price target on the stock.

Read Our Latest Stock Analysis on MultiSensor AI

MultiSensor AI Stock Down 11.0 %

NASDAQ:MSAI traded down $0.31 during trading hours 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 52 week low of $1.89 and a 52 week high of $14.00. The company’s 50 day moving average is $2.68.

Institutional Trading of MultiSensor AI

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

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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