T Stamp (NASDAQ:IDAI – Get Free Report) is expected to post its Q2 2026 results before the market opens on Thursday, August 13th. Analysts expect the company to announce earnings of ($0.34) per share and revenue of $0.90 million for the quarter. Investors may review the information on the company’s upcoming Q2 2026 earning results page for the latest details on the call scheduled for Thursday, August 20, 2026 at 4:00 PM ET.
T Stamp (NASDAQ:IDAI – Get Free Report) last posted its earnings results on Thursday, May 14th. The company reported ($0.42) EPS for the quarter, missing analysts’ consensus estimates of ($0.29) by ($0.13). The firm had revenue of $0.76 million for the quarter, compared to analysts’ expectations of $0.90 million. T Stamp had a negative net margin of 250.57% and a negative return on equity of 134.07%. On average, analysts expect T Stamp to post $-1 EPS for the current fiscal year and $-0 EPS for the next fiscal year.
T Stamp Price Performance
Shares of IDAI opened at $3.16 on Tuesday. The company has a 50 day moving average of $2.17 and a two-hundred day moving average of $2.48. The company has a quick ratio of 5.28, a current ratio of 5.28 and a debt-to-equity ratio of 0.15. T Stamp has a twelve month low of $1.17 and a twelve month high of $5.28. The company has a market cap of $17.70 million, a price-to-earnings ratio of -1.42 and a beta of 0.70.
Institutional Trading of T Stamp
Analyst Upgrades and Downgrades
Separately, Zacks Research upgraded T Stamp to a “hold” rating in a report on Wednesday, May 20th. One equities research analyst has rated the stock with a Buy rating and one has given a Hold rating to the company. Based on data from MarketBeat.com, the stock currently has an average rating of “Moderate Buy” and an average price target of $12.00.
Read Our Latest Report on T Stamp
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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