
Chicago Atlantic Q3 net income falls to $8.93 mln

Chicago Atlantic's Q3 net income fell to $8.93 million from $11.21 million last year, with net interest income also declining to $13.69 million. The company repurchased shares, affirming its commitment to shareholder returns. It maintains its 2025 outlook, aiming for net growth in its loan portfolio and has a pipeline of over $415 million in new opportunities. Analysts rate the stock as a "buy" with a median 12-month price target of $18.00, reflecting a potential increase of 27.3% from its recent closing price of $13.08.
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Overview
- Chicago Atlantic Q3 net income declines to $8.93 mln from $11.21 mln last year
- Net interest income for Q3 falls to $13.69 mln from $14.46 mln last year
- Company repurchased shares in open market, reinforcing commitment to shareholder returns
Outlook
- Company affirms its 2025 outlook issued on March 12, 2025
- Company aims to generate net growth in loan portfolio for 2025
- Company has a pipeline of over $415 mln in new opportunities
Result Drivers
- PROVEN OPERATORS - Co attributes loan portfolio performance to focus on proven operators in limited-license states
- INTEREST RATE INSULATION - Co remains insulated from Prime rate changes with 86% of loans having interest rate floors
Key Details
Metric Beat/Mis Actual Consensu
s s
Estimate
Q3 EPS $0.42
Q3 Basic $0.42
EPS
Analyst Coverage
- The current average analyst rating on the shares is “buy” and the breakdown of recommendations is 4 “strong buy” or “buy”, 1 “hold” and no “sell” or “strong sell”
- The average consensus recommendation for the commercial reits peer group is “buy”
- Wall Street’s median 12-month price target for Chicago Atlantic Real Estate Finance Inc is $18.00, about 27.3% above its November 3 closing price of $13.08
- The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 7 three months ago
Press Release: For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact . (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)
