SelectQuote Q1 revenue slightly beats estimates on higher pharmacy sales

By Reuters News


Overview

  • U.S. insurance distributor's fiscal Q1 revenue fell 15% but slightly beat analyst expectations

  • Adjusted EBITDA loss narrowed yr/yr, reflecting improved operational efficiencies

  • Company cites operational efficiencies for improved adjusted EBITDA despite lower revenue


Outlook

  • SelectQuote expects FY27 revenue between $1.35 bln and $1.45 bln

  • Company forecasts FY27 adjusted EBITDA between $90 mln and $115 mln

  • SelectQuote projects FY27 operating cash flow of more than $60 mln


Result Drivers

  • OPERATIONAL EFFICIENCIES - Co said improved adjusted EBITDA was driven by growing efficiencies and process management, including lower agent headcount in Senior and scaling Healthcare Services

  • MEMBER PROFITABILITY - Co said profitability per SelectRx member rose 60% due to refined customer qualification and focus on long-term profitability

  • PHARMACY REVENUE - Co attributed increase in per-policy revenue to higher pharmacy revenue


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Slight Beat*

$280 mln

$277.91 mln (4 Analysts)

Q1 Net Loss

$20.30 mln

Q1 Adjusted EBITDA

-$17 mln

*Applies to a deviation of less than 1%; not applicable for per-share numbers.


Analyst Coverage

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

  • The average consensus recommendation for the multiline insurance & brokers peer group is "buy"

  • Wall Street's median 12-month price target for Selectquote, Inc is $2.50, about 509.8% above its November 3 closing price of $0.41


Reuters Recommended Reads

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  • Nov 3 - Midterms may heighten focus on insurance affordability


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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