Stem (NYSE:STEM) Given New $8.00 Price Target at Barclays

Stem (NYSE:STEM) had its price target reduced by equities research analysts at Barclays from $18.00 to $8.00 in a research report issued to clients and investors on Monday,Benzinga reports. The brokerage currently has an “equal weight” rating on the stock. Barclays‘s target price points to a potential upside of 46.36% from the company’s current price.

A number of other analysts also recently weighed in on STEM. Roth Capital reaffirmed a “neutral” rating and set a $11.00 price target on shares of Stem in a report on Thursday, May 7th. Weiss Ratings cut Stem from a “hold (c-)” rating to a “sell (d+)” rating in a research note on Wednesday, April 29th. Susquehanna decreased their price target on Stem from $10.00 to $7.50 and set a “neutral” rating on the stock in a research note on Friday, July 10th. UBS Group restated a “neutral” rating and set a $10.50 price objective (down from $12.00) on shares of Stem in a research report on Monday, May 11th. Finally, Wall Street Zen downgraded Stem from a “sell” rating to a “strong sell” rating in a research note on Saturday, May 9th. Four research analysts have rated the stock with a Hold rating and one has assigned a Sell rating to the stock. According to data from MarketBeat, the company currently has a consensus rating of “Reduce” and a consensus target price of $9.25.

Stem Price Performance

Stem stock opened at $5.47 on Monday. The firm has a market cap of $48.98 million, a PE ratio of -0.63 and a beta of 1.45. The stock’s fifty day moving average price is $7.85 and its two-hundred day moving average price is $10.69. Stem has a one year low of $5.45 and a one year high of $32.23.

Stem (NYSE:STEM) last issued its quarterly earnings results on Wednesday, May 6th. The company reported ($2.22) 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. Sell-side analysts expect that Stem will post -7.76 earnings per share for the current fiscal year.

Institutional Investors Weigh In On Stem

Institutional investors and hedge funds have recently made changes to their positions in the stock. IFP Advisors Inc lifted its stake in shares of Stem by 258.1% in the third quarter. IFP Advisors Inc now owns 1,479 shares of the company’s stock worth $26,000 after acquiring an additional 1,066 shares during the period. Virtu Financial LLC lifted its position in shares of Stem by 11.0% in the 3rd quarter. Virtu Financial LLC now owns 12,856 shares of the company’s stock worth $225,000 after purchasing an additional 1,279 shares during the period. Geode Capital Management LLC boosted its stake in shares of Stem by 2.1% in the 4th quarter. Geode Capital Management LLC now owns 88,246 shares of the company’s stock valued at $1,329,000 after purchasing an additional 1,821 shares during the last quarter. International Assets Investment Management LLC acquired a new stake in shares of Stem during the fourth quarter worth $29,000. Finally, Royal Bank of Canada raised its stake in Stem by 8.8% during the first quarter. Royal Bank of Canada now owns 28,213 shares of the company’s stock worth $249,000 after buying an additional 2,275 shares during the last quarter. Institutional investors and hedge funds own 61.63% of the company’s stock.

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.