MultiSensor AI Holdings, Inc. (NASDAQ:MSAI) Forecasted to Earn Q1 2024 Earnings of ($0.05) Per Share

MultiSensor AI Holdings, Inc. (NASDAQ:MSAI) – Analysts at Roth Capital issued their Q1 2024 earnings per share (EPS) estimates for shares of MultiSensor AI in a report released on Monday, April 15th. Roth Capital analyst G. Sweeney anticipates 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 research report on Monday. They set a “buy” rating and a $8.00 price objective on the stock.

MultiSensor AI Stock Performance

NASDAQ:MSAI opened at $2.50 on Wednesday. The firm has a 50-day simple moving average of $2.69. MultiSensor AI has a twelve month low of $1.89 and a twelve month high of $14.00.

Institutional Inflows and Outflows

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

MultiSensor AI Company Profile

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.