Stem, Inc. (NYSE:STEM – Get Free Report) CEO Arun Narayanan sold 1,996 shares of the business’s stock in a transaction on Thursday, July 2nd. The shares were sold at an average price of $7.85, for a total transaction of $15,668.60. Following the sale, the chief executive officer directly owned 19,109 shares in the company, valued at $150,005.65. The trade was a 9.46% decrease in their position. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through the SEC website.
Stem Price Performance
Shares of Stem stock traded down $0.13 during trading hours on Thursday, reaching $7.79. The company had a trading volume of 118,319 shares, compared to its average volume of 181,363. The firm has a market cap of $69.79 million, a PE ratio of -0.90 and a beta of 1.45. Stem, Inc. has a one year low of $7.12 and a one year high of $32.23. The business has a fifty day simple moving average of $9.03 and a 200 day simple moving average of $11.87.
Stem (NYSE:STEM – Get Free Report) last released its quarterly earnings data on Wednesday, May 6th. The company reported ($2.22) earnings per share (EPS) for the quarter, missing analysts’ consensus estimates of ($1.76) by ($0.46). The company had revenue of $29.00 million during the quarter, compared to the consensus estimate of $34.61 million. On average, research analysts forecast that Stem, Inc. will post -7.76 EPS for the current year.
Institutional Inflows and Outflows
More Stem News
Here are the key news stories impacting Stem this week:
- Positive Sentiment: Stem announced that its PowerTrack Energy Management System won The smarter E AWARD 2026 in the Smart Integrated Energy category, highlighting product recognition and potential validation of its AI-enabled clean energy software platform. Stem Wins The smarter E AWARD 2026 for PowerTrack Energy Management System
- Neutral Sentiment: Stem was the subject of a brokerage roundup saying analysts currently rate the stock “Reduce,” which may reinforce cautious sentiment among investors. Stem, Inc. (NYSE:STEM) Given Consensus Recommendation of “Reduce” by Brokerages
- Neutral Sentiment: Several other articles mentioning “STEM” refer to STEM education, stem cell therapy, or general science topics rather than Stem, Inc., so they are unlikely to directly affect the stock.
Wall Street Analysts Forecast Growth
A number of research firms have recently commented on STEM. Weiss Ratings lowered shares of Stem from a “hold (c-)” rating to a “sell (d+)” rating in a research report on Wednesday, April 29th. Susquehanna decreased their target price on shares of Stem from $21.00 to $10.00 and set a “neutral” rating on the stock in a report on Thursday, April 9th. UBS Group reissued a “neutral” rating and issued a $10.50 price target (down from $12.00) on shares of Stem in a report on Monday, May 11th. Roth Mkm restated a “neutral” rating and set a $11.00 price target on shares of Stem in a research report on Thursday, May 7th. Finally, Wall Street Zen cut shares of Stem from a “sell” rating to a “strong sell” rating in a report on Saturday, May 9th. Three investment analysts have rated the stock with a Hold rating and two have assigned a Sell rating to the company. According to data from MarketBeat, the company presently has an average rating of “Reduce” and a consensus price target of $12.38.
Get Our Latest Research Report on STEM
Stem Company Profile
Stem, Inc is a technology company specializing in AI-driven energy storage and optimization solutions for commercial, industrial and utility customers. The company delivers integrated hardware and software systems that enable clients to manage energy consumption, reduce peak demand charges and provide ancillary services to the power grid. By combining battery storage hardware with advanced machine-learning algorithms, Stem helps organizations align energy usage with cost-saving opportunities while supporting grid reliability and renewable integration.
At the core of Stem’s offering is its Athena software platform, which uses real-time data and predictive analytics to forecast energy needs and automatically dispatch stored energy when it is most valuable.
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