908 Devices (MASS) Projected to Post Quarterly Earnings on Tuesday

908 Devices (NASDAQ:MASS) will likely be releasing its Q1 2025 earnings data before the market opens on Tuesday, May 13th. Analysts expect 908 Devices to post earnings of ($0.29) per share and revenue of $11.90 million for the quarter.

908 Devices Stock Down 2.8%

NASDAQ:MASS opened at $5.63 on Monday. 908 Devices has a 12-month low of $1.81 and a 12-month high of $7.48. The firm has a market capitalization of $201.22 million, a PE ratio of -3.18 and a beta of 0.26. The firm has a 50-day moving average price of $4.44 and a 200 day moving average price of $3.22.

Wall Street Analyst Weigh In

Several research firms recently issued reports on MASS. Weiss Ratings reissued a “sell (d-)” rating on shares of 908 Devices in a research report on Saturday. Stephens reissued an “overweight” rating and issued a $6.00 price target on shares of 908 Devices in a research report on Wednesday, January 15th. Two analysts have rated the stock with a hold rating and two have issued a buy rating to the company. Based on data from MarketBeat.com, the company presently has an average rating of “Moderate Buy” and a consensus target price of $5.33.

908 Devices Company Profile

908 Devices Inc, a commercial-stage technology company, provides various purpose-built handheld and desktop mass spectrometry devices to interrogate unknown and invisible materials in life sciences research, bioprocessing, pharma/biopharma, forensics, and adjacent markets. The company's products include MX908, a handheld, battery-powered, and Mass Spec device that is designed for rapid analysis of solid, liquid, vapor, and aerosol materials of unknown identity; Rebel, a small desktop analyzer that provides real-time information on the extracellular environment in bioprocesses; and Maverick, an optical in-line analyzer that offers real-time monitoring and control of multiple bioprocess parameters, including glucose, lactate, and total biomass in mammalian cell cultures, as well as provides process fingerprint data to support large-scale efforts in predictive bioprocess modeling.