Audioeye (NASDAQ:AEYE) Updates FY 2026 Earnings Guidance

Audioeye (NASDAQ:AEYE) issued an update on its FY 2026 earnings guidance on Thursday morning. The company provided earnings per share guidance of .94- for the period, compared to the consensus earnings per share estimate of 0.670. The company issued revenue guidance of $43.0 million-$44.5 million, compared to the consensus revenue estimate of $44.7 million. Audioeye also updated its Q1 2026 guidance to 0.170-0.180 EPS.

Analyst Upgrades and Downgrades

A number of analysts have recently issued reports on the company. HC Wainwright set a $18.00 price target on Audioeye and gave the stock a “buy” rating in a research note on Tuesday, January 27th. Needham & Company LLC reiterated a “buy” rating on shares of Audioeye in a research report on Wednesday, November 5th. Finally, Roth Mkm reissued a “buy” rating on shares of Audioeye in a research note on Tuesday, January 13th. Four equities research analysts have rated the stock with a Buy rating and one has given a Sell rating to the company. Based on data from MarketBeat.com, the company has an average rating of “Moderate Buy” and an average price target of $20.67.

Audioeye Trading Up 2.6%

Shares of Audioeye stock traded up $0.20 during trading hours on Thursday, hitting $7.87. The company’s stock had a trading volume of 553,135 shares, compared to its average volume of 152,561. Audioeye has a twelve month low of $6.35 and a twelve month high of $16.39. The firm has a fifty day moving average of $8.58 and a 200-day moving average of $11.45. The stock has a market cap of $97.75 million, a price-to-earnings ratio of -28.11 and a beta of 0.63. The company has a debt-to-equity ratio of 2.23, a quick ratio of 1.00 and a current ratio of 1.00.

Audioeye (NASDAQ:AEYE) last issued its quarterly earnings data on Thursday, March 5th. The company reported $0.22 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $0.21 by $0.01. The firm had revenue of $10.49 million during the quarter, compared to the consensus estimate of $10.48 million. Audioeye had a positive return on equity of 40.94% and a negative net margin of 8.88%.Audioeye has set its FY 2026 guidance at .94- EPS and its Q1 2026 guidance at 0.170-0.180 EPS. Research analysts forecast that Audioeye will post 0.18 EPS for the current year.

Institutional Investors Weigh In On Audioeye

A number of institutional investors have recently modified their holdings of the company. Prelude Capital Management LLC purchased a new stake in shares of Audioeye during the 3rd quarter worth $544,000. Jane Street Group LLC lifted its holdings in Audioeye by 371.9% during the 4th quarter. Jane Street Group LLC now owns 28,005 shares of the company’s stock worth $280,000 after buying an additional 38,305 shares during the last quarter. Brooklyn Investment Group raised its position in shares of Audioeye by 16,341.1% during the 3rd quarter. Brooklyn Investment Group now owns 15,619 shares of the company’s stock worth $216,000 after acquiring an additional 15,524 shares in the last quarter. Pillsbury Lake Capital LLC purchased a new stake in Audioeye during the fourth quarter worth approximately $211,000. Finally, State of Tennessee Department of Treasury boosted its holdings in Audioeye by 29.8% in the second quarter. State of Tennessee Department of Treasury now owns 17,525 shares of the company’s stock valued at $204,000 after purchasing an additional 4,025 shares in the last quarter. 51.11% of the stock is owned by institutional investors and hedge funds.

About Audioeye

AudioEye, Inc is a provider of digital accessibility solutions, offering software and services designed to help organizations ensure their online properties comply with Web Content Accessibility Guidelines (WCAG), the Americans with Disabilities Act (ADA) and other global accessibility standards. Through its cloud-based platform, the company automates the detection and remediation of accessibility barriers in websites, mobile applications and multimedia content.

The company’s flagship AEYE Platform leverages machine learning, artificial intelligence and human validation to continuously scan digital assets, identify potential compliance issues and deploy corrective overlays or code adjustments.