Brokerages Set Stem, Inc. (NYSE:STEM) PT at $17.60

Stem, Inc. (NYSE:STEM) has received a consensus recommendation of “Reduce” from the six brokerages that are currently covering the company, Marketbeat.com reports. One investment analyst has rated the stock with a sell recommendation and five have assigned a hold recommendation to the company. The average 1 year price objective among analysts that have issued ratings on the stock in the last year is $17.60.

Several research firms recently commented on STEM. Weiss Ratings reaffirmed a “hold (c-)” rating on shares of Stem in a research note on Monday, December 29th. UBS Group lifted their price target on shares of Stem from $16.00 to $18.00 and gave the company a “neutral” rating in a research note on Friday, October 31st. Roth Mkm set a $23.00 price target on Stem and gave the company a “neutral” rating in a report on Thursday, October 30th. Barclays restated a “reduce” rating and set a $18.00 price objective (up from $13.00) on shares of Stem in a report on Friday, October 31st. Finally, Susquehanna upped their target price on Stem from $12.00 to $21.00 and gave the stock a “neutral” rating in a report on Monday, October 13th.

Stem Trading Up 6.4%

Shares of NYSE STEM opened at $12.76 on Monday. Stem has a 12-month low of $5.81 and a 12-month high of $32.23. The firm’s 50-day moving average price is $17.33 and its 200-day moving average price is $17.47. The stock has a market capitalization of $107.06 million, a price-to-earnings ratio of -0.94 and a beta of 1.29.

Insider Transactions at Stem

In other Stem news, CAO Rahul Shukla sold 3,674 shares of Stem stock in a transaction dated Tuesday, November 18th. The stock was sold at an average price of $16.21, for a total value of $59,555.54. The transaction was disclosed in a document filed with the SEC, which is available at the SEC website. Company insiders own 5.10% of the company’s stock.

Institutional Investors Weigh In On Stem

A number of hedge funds and other institutional investors have recently added to or reduced their stakes in STEM. AQR Capital Management LLC lifted its stake in Stem by 505.8% during the 1st quarter. AQR Capital Management LLC now owns 1,482,790 shares of the company’s stock valued at $519,000 after acquiring an additional 1,238,012 shares during the period. Vanguard Group Inc. raised its holdings in shares of Stem by 2.2% during the third quarter. Vanguard Group Inc. now owns 395,223 shares of the company’s stock worth $6,924,000 after purchasing an additional 8,468 shares during the last quarter. Bank of America Corp DE lifted its position in Stem by 104.0% during the third quarter. Bank of America Corp DE now owns 217,871 shares of the company’s stock valued at $3,817,000 after purchasing an additional 111,068 shares during the period. Two Sigma Investments LP boosted its holdings in Stem by 461.9% in the third quarter. Two Sigma Investments LP now owns 94,045 shares of the company’s stock valued at $1,648,000 after purchasing an additional 77,307 shares during the last quarter. Finally, GSA Capital Partners LLP boosted its holdings in Stem by 569.1% in the fourth quarter. GSA Capital Partners LLP now owns 79,216 shares of the company’s stock valued at $1,192,000 after purchasing an additional 67,377 shares during the last quarter. 61.63% of the stock is currently owned by hedge funds and other institutional investors.

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.