Phreesia Q1 revenue rises on clients growth
Phreesia Q1 revenue rises on clients growth
Overview
US patient activation platform's fiscal Q1 revenue rose 13% yr/yr, slightly beating analyst expectations
Adjusted EBITDA for fiscal Q1 increased to $30.5 mln from $20.8 mln a year earlier
Company maintained fiscal 2027 revenue and Adjusted EBITDA outlooks despite lower network solutions client spend
Outlook
Phreesia expects fiscal 2027 revenue between $510 mln to $520 mln
Company sees fiscal 2027 Adjusted EBITDA between $125 mln to $135 mln
Phreesia expects mid-single-digit AHSC growth and low-single-digit revenue per AHSC growth in fiscal 2027
Result Drivers
CLIENT GROWTH - Increase in average number of healthcare services clients (AHSCs) and higher revenue per client drove Q1 revenue growth
ACCESSONE EXPANSION - Integration and expansion of AccessOne, including increased securitization capacity, supported payment solutions growth and future positioning
AI ADOPTION - Adoption of artificial intelligence into operations aimed at reducing manual processes and increasing efficiency
Company press release: ID:nBw1SM17Fa
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q1 Revenue | Slight Beat* | $130.94 mln | $130.07 mln (19 Analysts) |
Q1 Net Income |
| $2.96 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 13 "strong buy" or "buy", 7 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the software peer group is "buy"
Wall Street's median 12-month price target for Phreesia Inc is $14.00, about 56.4% above its May 26 closing price of $8.95
The stock recently traded at 23 times the next 12-month earnings vs. a P/E of 21 three months ago
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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