Grid Dynamics (GDYN) Scheduled to Post Earnings on Thursday

Grid Dynamics (NASDAQ:GDYN) will be releasing its earnings data after the market closes on Thursday, May 2nd. Analysts expect Grid Dynamics to post earnings of $0.08 per share for the quarter. Grid Dynamics has set its Q1 2024 guidance at EPS.Investors that wish to listen to the company’s conference call can do so using this link.

Grid Dynamics (NASDAQ:GDYN) last released its earnings results on Thursday, February 22nd. The company reported $0.07 EPS for the quarter, missing analysts’ consensus estimates of $0.08 by ($0.01). The business had revenue of $78.07 million for the quarter, compared to the consensus estimate of $76.64 million. Grid Dynamics had a positive return on equity of 6.77% and a negative net margin of 0.56%. The company’s revenue for the quarter was down 3.1% on a year-over-year basis. During the same quarter in the previous year, the firm earned $0.14 earnings per share. On average, analysts expect Grid Dynamics to post $0 EPS for the current fiscal year and $0 EPS for the next fiscal year.

Grid Dynamics Price Performance

NASDAQ GDYN opened at $10.24 on Thursday. The stock has a market capitalization of $777.93 million, a price-to-earnings ratio of -341.22 and a beta of 0.94. Grid Dynamics has a one year low of $8.00 and a one year high of $14.70. The business’s fifty day moving average is $12.30 and its 200-day moving average is $12.46.

Wall Street Analyst Weigh In

A number of equities research analysts recently issued reports on GDYN shares. JPMorgan Chase & Co. boosted their price objective on Grid Dynamics from $16.00 to $17.00 and gave the company an “overweight” rating in a research note on Friday, February 23rd. Citigroup lowered their price objective on Grid Dynamics from $17.00 to $15.00 and set a “buy” rating on the stock in a research note on Monday. Finally, Cantor Fitzgerald boosted their price objective on Grid Dynamics from $14.00 to $17.00 and gave the company an “overweight” rating in a research note on Wednesday, March 13th. Four investment analysts have rated the stock with a buy rating, According to MarketBeat.com, Grid Dynamics currently has an average rating of “Buy” and an average target price of $15.75.

Insiders Place Their Bets

In other Grid Dynamics news, CFO Anil Doradla sold 4,000 shares of the stock in a transaction on Friday, March 1st. The stock was sold at an average price of $13.26, for a total value of $53,040.00. Following the completion of the transaction, the chief financial officer now owns 395,568 shares in the company, valued at $5,245,231.68. The transaction was disclosed in a filing with the SEC, which is available through the SEC website. In other news, CFO Anil Doradla sold 4,000 shares of the stock in a transaction on Friday, March 1st. The stock was sold at an average price of $13.26, for a total value of $53,040.00. Following the sale, the chief financial officer now directly owns 395,568 shares of the company’s stock, valued at $5,245,231.68. The transaction was disclosed in a legal filing with the SEC, which is available at this hyperlink. Also, CEO Leonard Livschitz sold 10,000 shares of the stock in a transaction on Tuesday, April 23rd. The shares were sold at an average price of $10.54, for a total value of $105,400.00. Following the sale, the chief executive officer now directly owns 3,660,691 shares in the company, valued at $38,583,683.14. The disclosure for this sale can be found here. Over the last 90 days, insiders sold 100,884 shares of company stock worth $1,265,155. 7.40% of the stock is owned by corporate insiders.

Grid Dynamics Company Profile

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.