Cintas slightly beats Q3 revenue estimates, raises FY revenue and profit guidance

Cintas

25/03/2026 12:39

Overview

U.S. uniform and facility services provider's fiscal Q3 revenue rose 8.9%, slightly beating analyst expectations

EPS for fiscal Q3 grew 9.7% yr/yr

Company entered agreement to acquire UniFirst and raised full-year revenue and EPS guidance

Outlook

Cintas raises fiscal 2026 revenue guidance to $11.21 bln-$11.24 bln, excluding UniFirst impact

Company lifts fiscal 2026 adjusted diluted EPS outlook to $4.86-$4.90, excluding UniFirst costs

Cintas says diversified customer base and execution position it well for continued growth

Result Drivers

ORGANIC GROWTH - 8.2% organic revenue growth driven by strong performance in route-based businesses, per CEO Todd Schneider

GROSS MARGIN IMPROVEMENT - Gross margin as a percent of revenue reached an all-time high of 51.0%, up 40 basis points from last year

INVESTMENTS IN TECHNOLOGY AND CAPACITY - Co said investments in technology, capacity and talent contributed to improved results

Company press release: ID:nBw1z3KyDa

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q3 Revenue
Slight Beat*
$2.84 bln
$2.82 bln (15 Analysts)
Q3 EPS
$1.24
Q3 Net Income
$502.50 mln
Q3 Operating Income
$659.90 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 "hold" and the breakdown of recommendations is 9 "strong buy" or "buy", 11 "hold" and 1 "sell" or "strong sell"

The average consensus recommendation for the business support services peer group is "buy."

Wall Street's median 12-month price target for Cintas Corp is $224.50, about 26% above its March 24 closing price of $178.13

The stock recently traded at 34 times the next 12-month earnings vs. a P/E of 36 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.)