Stem, Inc. (NYSE:STEM – Get Free Report) CEO Arun Narayanan sold 1,996 shares of Stem stock in a transaction that occurred on Thursday, July 2nd. The stock was sold at an average price of $7.85, for a total transaction of $15,668.60. Following the completion of the transaction, the chief executive officer directly owned 19,109 shares in the company, valued at $150,005.65. This represents a 9.46% decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is accessible through this hyperlink.
Stem Stock Performance
Shares of NYSE:STEM opened at $7.79 on Friday. Stem, Inc. has a one year low of $7.12 and a one year high of $32.23. The company has a market capitalization of $69.79 million, a PE ratio of -0.90 and a beta of 1.45. The stock has a fifty day moving average of $8.89 and a 200-day moving average of $11.76.
Stem (NYSE:STEM – Get Free Report) last issued its quarterly earnings results on Wednesday, May 6th. The company reported ($2.22) earnings per share 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 analysts’ expectations of $34.61 million. As a group, research analysts forecast that Stem, Inc. will post -7.76 EPS for the current fiscal year.
Hedge Funds Weigh In On Stem
Key Stories Impacting Stem
Here are the key news stories impacting Stem this week:
- Positive Sentiment: Stem said its PowerTrack™ Energy Management System won The smarter E AWARD 2026, a product recognition that could bolster the company’s clean-energy software reputation and support longer-term sentiment. Stem Wins The smarter E AWARD 2026 for PowerTrack Energy Management System
- Neutral Sentiment: Brokerage coverage remains cautious, with Stem carrying a consensus recommendation of “Reduce,” which reinforces a negative overall analyst backdrop but does not represent a new company-specific development. Stem, Inc. (NYSE:STEM) Given Consensus Recommendation of “Reduce” by Brokerages
- Negative Sentiment: Several insiders sold shares at $7.85, including CEO Arun Narayanan and insiders Michael James Carlson, Matthew Tappin, and Saul R. Laureles. Insider selling can weigh on investor confidence, especially when the stock is already trading well below its longer-term averages. SEC filing for Arun Narayanan sale
Wall Street Analyst Weigh In
Several analysts have recently weighed in on the company. Wall Street Zen lowered Stem from a “sell” rating to a “strong sell” rating in a report on Saturday, May 9th. Roth Mkm reaffirmed a “neutral” rating and set a $11.00 price objective on shares of Stem in a report on Thursday, May 7th. UBS Group reissued a “neutral” rating and issued a $10.50 target price (down from $12.00) on shares of Stem in a report on Monday, May 11th. Susquehanna dropped their price target on Stem from $21.00 to $10.00 and set a “neutral” rating for the company in a report on Thursday, April 9th. Finally, Weiss Ratings lowered Stem from a “hold (c-)” rating to a “sell (d+)” rating in a research note on Wednesday, April 29th. Three investment analysts have rated the stock with a Hold rating and two have issued a Sell rating to the company. According to data from MarketBeat.com, Stem has a consensus rating of “Reduce” and an average target price of $12.38.
View Our Latest Analysis 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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