Spectral AI (NASDAQ:MDAI) Announces Earnings Results, Beats Expectations By $0.01 EPS

Spectral AI (NASDAQ:MDAI) released its earnings results on Tuesday. The company reported ($0.13) EPS for the quarter, topping analysts’ consensus estimates of ($0.14) by $0.01, FiscalAI reports. The company had revenue of $3.52 million during the quarter, compared to analyst estimates of $4.17 million.

Here are the key takeaways from Spectral AI’s conference call:

• Positive Sentiment: Spectral AI received FDA De Novo clearance for its DeepView burn-assessment system, validating the technology and enabling its transition from development to commercialization.
• Positive Sentiment: The company plans a staged launch targeting up to 30 U.S. installations through June 2027, supported by BARDA funding, while pursuing updated UKCA clearance in the fourth quarter and initial international placements.
• Neutral Sentiment: Second-quarter R&D revenue fell to $3.5 million from $5.1 million year over year as major studies were completed and BARDA work shifted to a cost-sharing phase; full-year revenue guidance was reiterated at approximately $18.5 million and excludes significant DeepView sales.
• Positive Sentiment: Spectral AI reported $14 million in cash, access to more than $60 million of additional non-dilutive BARDA funding, and no principal payments on its debt through March 2027, providing resources to fund the commercial launch.
• Neutral Sentiment: Deployment may be slowed by hospital procurement, cybersecurity, and AI-committee reviews, while the company expects to begin a 12-center U.S. triage and treatment-outcome study in the fourth quarter of 2026.

Spectral AI Stock Performance

NASDAQ:MDAI remained flat at $1.71 during midday trading on Tuesday. 211,916 shares of the company traded hands, compared to its average volume of 566,869. Spectral AI has a one year low of $1.18 and a one year high of $2.97. The company has a market capitalization of $54.41 million, a price-to-earnings ratio of -3.23 and a beta of 1.18. The company’s fifty day simple moving average is $1.73 and its 200 day simple moving average is $1.75.

Analyst Upgrades and Downgrades

A number of research analysts have issued reports on MDAI shares. Northland Securities raised shares of Spectral AI to a “strong-buy” rating in a report on Monday, July 27th. BTIG Research boosted their price objective on shares of Spectral AI from $3.00 to $4.00 and gave the company a “buy” rating in a report on Tuesday, May 26th. Finally, Weiss Ratings raised Spectral AI from a “sell (e+)” rating to a “sell (d-)” rating in a research report on Monday, June 29th. One equities research analyst has rated the stock with a Strong Buy rating, one has given a Buy rating and one has issued a Sell rating to the company. Based on data from MarketBeat.com, the company currently has an average rating of “Moderate Buy” and an average price target of $4.00.

Institutional Trading of Spectral AI

Several large investors have recently made changes to their positions in MDAI. Raymond James Financial Inc. raised its holdings in shares of Spectral AI by 1,180.0% during the third quarter. Raymond James Financial Inc. now owns 12,800 shares of the company’s stock worth $29,000 after purchasing an additional 11,800 shares during the last quarter. Jane Street Group LLC acquired a new position in Spectral AI during the second quarter valued at $74,000. Virtu Financial LLC purchased a new stake in Spectral AI in the fourth quarter valued at $75,000. Marshall Wace LLP purchased a new stake in Spectral AI in the second quarter valued at $104,000. Finally, State Street Corp grew its position in Spectral AI by 90.9% during the 4th quarter. State Street Corp now owns 75,600 shares of the company’s stock worth $107,000 after purchasing an additional 36,000 shares during the period. 67.08% of the stock is owned by hedge funds and other institutional investors.

Spectral AI Company Profile

Spectral AI, Inc (NASDAQ: MDAI) is a technology company focused on delivering advanced analytics and insights through the application of machine learning to multi-spectral and hyperspectral data. Its core platform ingests imagery from satellites, aerial drones and ground-based sensors, applying proprietary algorithms to identify patterns and anomalies invisible to the naked eye. The company’s solutions are designed to help clients make more informed decisions in areas such as agriculture, environmental monitoring, infrastructure inspection and resource exploration.

The company offers a cloud-native software-as-a-service (SaaS) platform that enables users to visualize and analyze large volumes of spectral data via customizable dashboards.