Paylocity Q2 revenue rises on strong sales

Reuters
Feb 06
Paylocity <a href="https://laohu8.com/S/QTWO">Q2</a> revenue rises on strong sales

Overview

  • Cloud-based solutions firm's fiscal Q2 total revenue rose 10.4% yr/yr

  • Adjusted EBITDA for fiscal Q2 beat analyst expectations

  • Company repurchased $100 mln worth of shares in fiscal Q2

Outlook

  • Paylocity expects Q3 2026 revenue between $487 mln and $492 mln

  • Company forecasts FY 2026 revenue between $1.732 bln and $1.742 bln

  • Paylocity projects Q3 2026 adjusted EBITDA between $200 mln and $204 mln

Result Drivers

  • STRONG SALES AND EXECUTION - Paylocity attributed its Q2 results to strong sales and operational execution, as well as product differentiation

  • AI AND AUTOMATION INVESTMENTS - Co said investments in AI and automation drove efficiency and productivity, boosting free cash flow and adjusted EBITDA margins

  • SHARE REPURCHASE - Paylocity repurchased $100 mln worth of shares in Q2 2026, reflecting strategic financial management

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Net Income

$50.2 mln

Q2 Adjusted EBITDA

Beat

$142.70 mln

$134.19 mln (20 Analysts)

Q2 Adjusted operating income

Beat

$119.10 mln

$110.21 mln (20 Analysts)

Q2 Operating income

$70.4 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 17 "strong buy" or "buy", 5 "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 Paylocity Holding Corp is $180.00, about 42.1% above its February 4 closing price of $126.64

  • The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 19 three months ago

Press Release: ID:nGNX4yn47H

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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