Grid Dynamics (NASDAQ:GDYN – Get Free Report) announced its earnings results on Thursday. The company reported $0.04 EPS for the quarter, missing the consensus estimate of $0.10 by ($0.06), Zacks reports. Grid Dynamics had a return on equity of 0.15% and a net margin of 0.74%. Grid Dynamics updated its FY 2025 guidance to EPS and its Q1 2025 guidance to EPS.
Grid Dynamics Stock Down 5.1 %
Shares of NASDAQ:GDYN traded down $1.09 during midday trading on Thursday, hitting $20.48. The stock had a trading volume of 839,109 shares, compared to its average volume of 717,363. Grid Dynamics has a 12 month low of $9.07 and a 12 month high of $24.60. The business’s 50-day simple moving average is $21.58 and its 200-day simple moving average is $17.55. The company has a market cap of $1.69 billion, a P/E ratio of 682.89 and a beta of 1.01.
Insider Activity at Grid Dynamics
In other Grid Dynamics news, CFO Anil Doradla sold 2,000 shares of Grid Dynamics stock in a transaction on Friday, February 7th. The shares were sold at an average price of $24.09, for a total transaction of $48,180.00. Following the completion of the transaction, the chief financial officer now directly owns 341,012 shares of the company’s stock, valued at $8,214,979.08. The trade was a 0.58 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which is available through this hyperlink. Over the last three months, insiders sold 8,000 shares of company stock valued at $171,780. 7.20% of the stock is owned by corporate insiders.
Wall Street Analyst Weigh In
Check Out Our Latest Research Report on GDYN
About Grid Dynamics
Grid Dynamics Holdings, Inc, together with its subsidiaries, provides technology consulting, platform and product engineering, and analytics services in North America, Europe, and internationally. It offers cloud platform and product engineering services, such as architecting, designing, and building scalable and secure cloud-based platforms and business applications; and AI/machine learning and data platform engineering services that build platforms to facilitate batch and streaming data ingestion, quality governance, orchestration, semantic modeling, observability, and analysis at scale.
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