T Stamp (NASDAQ:IDAI – Get Free Report) will likely be posting its results before the market opens on Friday, April 24th. Analysts expect T Stamp to post earnings of ($0.29) per share and revenue of $0.8950 million for the quarter.
T Stamp (NASDAQ:IDAI – Get Free Report) last issued its quarterly earnings results on Tuesday, March 31st. The company reported ($0.39) earnings per share (EPS) for the quarter, missing the consensus estimate of ($0.29) by ($0.10). T Stamp had a negative net margin of 265.04% and a negative return on equity of 151.62%. The firm had revenue of $0.91 million for the quarter, compared to analyst estimates of $0.90 million.
T Stamp Stock Down 0.8%
Shares of IDAI stock opened at $2.47 on Thursday. T Stamp has a 1 year low of $1.68 and a 1 year high of $5.28. The stock has a market cap of $13.04 million, a PE ratio of -0.92 and a beta of 0.73. The business’s fifty day moving average is $2.57 and its 200-day moving average is $3.43. The company has a debt-to-equity ratio of 0.13, a quick ratio of 7.85 and a current ratio of 7.85.
Analyst Ratings Changes
Check Out Our Latest Stock Analysis on IDAI
Hedge Funds Weigh In On T Stamp
A number of hedge funds have recently modified their holdings of the stock. Geode Capital Management LLC grew its holdings in shares of T Stamp by 67.7% in the 4th quarter. Geode Capital Management LLC now owns 32,517 shares of the company’s stock worth $127,000 after acquiring an additional 13,125 shares during the last quarter. Kestra Advisory Services LLC acquired a new position in shares of T Stamp in the 4th quarter worth $204,000. Finally, Jane Street Group LLC acquired a new position in shares of T Stamp in the 4th quarter worth $220,000. 16.34% of the stock is currently owned by institutional investors and hedge funds.
About T Stamp
T Stamp Inc develops and markets identity authentication software solutions for government and enterprise partners, and peer-to-peer markets worldwide. It develops proprietary artificial intelligence-powered solutions, researching and leveraging machine learning, artificial intelligence, biometric science, cryptography, and data mining to deliver insightful identity and trust predictions that identify and defend against fraudulent identity attacks, protect sensitive user information, and extend the reach of digital services through global accessibility.
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