Brokers Set Expectations for MultiSensor AI Holdings, Inc.’s Q1 2024 Earnings (NASDAQ:MSAI)

MultiSensor AI Holdings, Inc. (NASDAQ:MSAI) – Analysts at Roth Capital issued their Q1 2024 earnings per share (EPS) estimates for MultiSensor AI in a research note issued to investors on Monday, April 15th. Roth Capital analyst G. Sweeney expects that the company will earn ($0.05) per share for the quarter. The consensus estimate for MultiSensor AI’s current full-year earnings is ($0.02) per share. 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 target on the stock.

MultiSensor AI Stock Up 8.0 %

Shares of NASDAQ:MSAI opened at $2.70 on Wednesday. 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 $2.71.

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:MSAI) during the 1st quarter, according to its most recent filing with the SEC. The institutional investor purchased 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. Institutional investors and hedge funds own 82.32% of the company’s stock.

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.