Grid Dynamics (NASDAQ:GDYN – Get Free Report) will likely be announcing its earnings results after the market closes on Thursday, February 20th. Analysts expect the company to announce earnings of $0.10 per share and revenue of $96.00 million for the quarter. Investors that are interested in registering for the company’s conference call can do so using this link.
Grid Dynamics Price Performance
Shares of Grid Dynamics stock opened at $22.52 on Friday. The business has a 50-day moving average of $21.36 and a 200-day moving average of $17.26. The company has a market capitalization of $1.86 billion, a PE ratio of 750.92 and a beta of 1.01. Grid Dynamics has a 1-year low of $9.07 and a 1-year high of $24.60.
Insiders Place Their Bets
In other news, CFO Anil Doradla sold 3,000 shares of the stock in a transaction on Monday, December 9th. The stock was sold at an average price of $19.08, for a total value of $57,240.00. Following the completion of the transaction, the chief financial officer now owns 373,282 shares of the company’s stock, valued at approximately $7,122,220.56. This represents a 0.80 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which can be accessed through this link. Insiders have sold 8,000 shares of company stock valued at $171,780 over the last three months. Company insiders own 7.20% of the company’s stock.
Analyst Upgrades and Downgrades
View Our Latest Analysis on Grid Dynamics
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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