Cintas (CTAS) Operating Income (2009 - 2026)
Cintas (CTAS) posted Operating Income of $673.04 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 12.7% from $597.45 million a year earlier and up 2.0% from the prior quarter.
Cintas (CTAS) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Operating Income came in at $2.61 billion, up 10.5% from FY2025.
- Annual Operating Income has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- In prior fiscal years, Cintas' Operating Income was $2.36 billion in FY2025 (+14.1%), $2.07 billion in FY2024 (+14.8%), $1.8 billion in FY2023 (+13.6%) and $1.59 billion in FY2022 (+14.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Income in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Income has increased in each of the last 24 quarters, with growth averaging 12.3% over the last eight quarters.
- The year-over-year growth in Operating Income has ranged between 8.0% (fiscal Q2 2022) and 24.9% (fiscal Q3 2022) over the last five years.
- According to Business Quant data, Operating Income for the three prior fiscal quarters was $659.9 million (Q3 2026), $655.71 million (Q2 2026) and $617.86 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 215.59 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 201.36 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 157.93 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 673.04 Mn |
| Feb 28, 2026 | 659.90 Mn |
| Nov 30, 2025 | 655.71 Mn |
| Aug 31, 2025 | 617.86 Mn |
| May 31, 2025 | 597.45 Mn |
| Feb 28, 2025 | 609.85 Mn |
| Nov 30, 2024 | 591.39 Mn |
| Aug 31, 2024 | 561.03 Mn |
| May 31, 2024 | 547.59 Mn |
| Feb 29, 2024 | 520.80 Mn |
| Nov 30, 2023 | 499.68 Mn |
| Aug 31, 2023 | 500.56 Mn |
| May 31, 2023 | 470.80 Mn |
| Feb 28, 2023 | 446.81 Mn |
| Nov 30, 2022 | 444.93 Mn |
| Aug 31, 2022 | 440.12 Mn |
| May 31, 2022 | 404.44 Mn |
| Feb 28, 2022 | 407.61 Mn |
| Nov 30, 2021 | 381.23 Mn |
| Aug 31, 2021 | 394.10 Mn |
Cintas Operating Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-income&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "ticker": "CTAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-income&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();