Cintas (CTAS) Net Income (2009 - 2026)
Cintas (CTAS) reported Net Income of $551.71 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 12.3% from $491.14 million a year earlier and up 8.0% from the prior quarter.
Cintas (CTAS) Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Cintas' Net Income came in at $2.06 billion, up 11.3% year-over-year; for FY2026 (ended May 31, 2026), it was $2 billion, up 10.4% from FY2025.
- Net Income has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- By fiscal year, Net Income came in at $1.81 billion in FY2025 (+15.3%), $1.57 billion in FY2024 (+16.6%), $1.35 billion in FY2023 (+9.1%) and $1.24 billion in FY2022 (+11.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Net Income in data going back to fiscal Q1 2010.
- Year over year, Net Income has now increased in each of the last 25 quarters, with growth averaging 12.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Net Income ranged from 3.3% (fiscal Q3 2023) to 22.1% (fiscal Q3 2022).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $510.99 million (Q4 2026), $502.5 million (Q3 2026) and $495.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.44 Bn | 110.72 Bn | 6.13 Bn | 2.34 Bn |
| 2 | Cintas | 89.69 Bn | 88.77 Bn | 1.55 Bn | 551.71 Mn |
| 3 | Iron Mountain | 32.76 Bn | 31.95 Bn | 1.07 Bn | 106.10 Mn |
| 4 | APi | 17.13 Bn | 14.17 Bn | 703.00 Mn | 99.00 Mn |
| 5 | Rollins | 16.57 Bn | 16.12 Bn | 582.90 Mn | 157.93 Mn |
| 6 | Gartner | 15.36 Bn | 9.05 Bn | 1.19 Bn | 275.50 Mn |
| 7 | UL Solutions | 14.62 Bn | 13.37 Bn | 417.00 Mn | 254.00 Mn |
| 8 | Aramark | 13.91 Bn | 11.86 Bn | 430.34 Mn | 97.83 Mn |
| 9 | Rentokil Initial | 11.48 Bn | 4.99 Bn | - | - |
| 10 | Tetra Tech | 9.49 Bn | 8.60 Bn | 243.21 Mn | 109.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 551.71 Mn |
| May 31, 2026 | 510.99 Mn |
| Feb 28, 2026 | 502.50 Mn |
| Nov 30, 2025 | 495.34 Mn |
| Aug 31, 2025 | 491.14 Mn |
| May 31, 2025 | 448.26 Mn |
| Feb 28, 2025 | 463.50 Mn |
| Nov 30, 2024 | 448.50 Mn |
| Aug 31, 2024 | 452.03 Mn |
| May 31, 2024 | 414.32 Mn |
| Feb 29, 2024 | 397.58 Mn |
| Nov 30, 2023 | 374.61 Mn |
| Aug 31, 2023 | 385.09 Mn |
| May 31, 2023 | 346.20 Mn |
| Feb 28, 2023 | 325.83 Mn |
| Nov 30, 2022 | 324.29 Mn |
| Aug 31, 2022 | 351.69 Mn |
| May 31, 2022 | 294.46 Mn |
| Feb 28, 2022 | 315.45 Mn |
| Nov 30, 2021 | 294.67 Mn |
Cintas Net 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=net-income&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();