Eagle Point Credit Q3 net loss totals $16.4 mln, NAV falls

By Reuters News


Overview

  • US CLO and private credit investor's Q3 net loss totaled $16.4 mln

  • NAV per share fell to $4.17 from $4.51 at prior quarter-end

  • Company to fully redeem Series C Term Preferred Shares and partially redeem 2029 notes


Outlook

  • Company declares monthly common share distributions of $0.06 for Q1 2027

  • Eagle Point estimates NAV per common share at $3.73-$3.83 as of Oct 31, 2026


Result Drivers

  • PRIVATE CREDIT EXPANSION - Co said strategic expansion into private credit strategies enhanced portfolio diversification and generated incremental earnings

  • PORTFOLIO CASH FLOWS - Co said strong net investment income was supported by portfolio cash flows, more than covering common share distributions

  • INVESTMENT LOSSES - Net loss driven by net unrealized losses on investments and realized losses


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Net Loss

$16.4 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the closed end funds peer group is "buy"

  • Wall Street's median 12-month price target for Eagle Point Credit Co is $4.50, about 111.3% above its November 12 closing price of $2.13

  • The stock recently traded at 3 times the next 12-month earnings vs. a P/E of 5 three months ago


Reuters Recommended Reads

  • Nov 12 - Barings Corporate Investors prelim Q3 NAV falls on unrealized losses

  • Nov 12 - Chicago Atlantic BDC Inc Q3 net investment income per share falls

  • Nov 11 - BCP Investment Q3 net investment income falls on elevated portfolio repayments


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(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.)

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