RadNet (NASDAQ:RDNT) Posts Quarterly Earnings Results, Beats Expectations By $0.08 EPS

RadNet (NASDAQ:RDNT) announced its quarterly earnings data on Sunday. The medical research company reported $0.30 EPS for the quarter, beating the consensus estimate of $0.22 by $0.08, FiscalAI reports. The firm had revenue of $638.26 million during the quarter, compared to analysts’ expectations of $639.97 million. RadNet had a negative net margin of 0.93% and a positive return on equity of 2.61%. The business’s revenue for the quarter was up 22.1% compared to the same quarter last year. During the same quarter last year, the business earned $0.20 earnings per share.

RadNet Price Performance

Shares of NASDAQ RDNT opened at $78.38 on Tuesday. The company has a current ratio of 1.48, a quick ratio of 1.48 and a debt-to-equity ratio of 0.94. The company’s 50-day moving average price is $72.64 and its 200 day moving average price is $65.43. RadNet has a 52 week low of $50.82 and a 52 week high of $85.84. The stock has a market cap of $6.17 billion, a price-to-earnings ratio of -290.29 and a beta of 1.42.

Key Stories Impacting RadNet

Here are the key news stories impacting RadNet this week:

• Positive Sentiment: Adjusted EPS of $0.30 beat the $0.22 consensus by about 35%. Revenue rose 22.1% year over year to $638.3 million, and the company reported record quarterly revenue and adjusted EBITDA. RadNet Q3 results and updated guidance
• Positive Sentiment: RadNet raised its FY 2026 outlook for the third consecutive quarter, with revenue guidance of $2.5 billion–$2.6 billion, versus a consensus estimate around $2.5 billion. Higher guidance signals continued confidence in growth. RadNet Q3 earnings and raised guidance
• Positive Sentiment: An analyst highlighted the ONRAD acquisition as a potential value and growth driver: it expands RadNet’s inpatient presence and geographic reach, and ONRAD’s reported EBITDA margins above 30% could make the deal margin-accretive. Advanced imaging growth, operating leverage and AI-related cost controls were also cited as supporting profitability. Analyst view on RadNet’s earnings and acquisition
• Negative Sentiment: Quarterly revenue of $638.3 million came in slightly below analysts’ $640.0 million estimate, tempering an otherwise strong report. RadNet quarterly earnings report

Analysts Set New Price Targets

A number of research firms have recently issued reports on RDNT. Zacks Research upgraded shares of RadNet from a “hold” rating to a “strong-buy” rating in a research report on Friday, October 9th. KeyCorp boosted their price target on RadNet from $92.00 to $95.00 and gave the stock an “overweight” rating in a research note on Tuesday. Barclays upped their price target on RadNet from $65.00 to $79.00 and gave the stock an “overweight” rating in a report on Friday, August 28th. Weiss Ratings reaffirmed a “sell (d-)” rating on shares of RadNet in a research note on Wednesday, November 4th. Finally, Jefferies Financial Group reaffirmed a “buy” rating on shares of RadNet in a report on Friday, July 31st. Two investment analysts have rated the stock with a Strong Buy rating, six have given a Buy rating and one has issued a Sell rating to the stock. Based on data from MarketBeat, RadNet currently has a consensus rating of “Buy” and a consensus target price of $90.43.

RadNet Company Profile

RadNet, Inc operates outpatient diagnostic imaging centers in the United States. Its centers provide services including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), mammography, ultrasound, X-ray and nuclear medicine imaging.

The company serves patients, physicians and healthcare organizations, with operations across several states, including California, Delaware, Florida, Maryland, New Jersey and New York. Its imaging centers offer diagnostic services for a range of medical needs, from routine screening to specialized examinations.

RadNet also develops digital health and artificial intelligence solutions through its subsidiary DeepHealth, including technology intended to support imaging workflows and assist with image analysis.