Cintas (CTAS) Tax Provisions (2009 - 2026)
Cintas' Tax Provisions came in at $137.44 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 8.1% from $127.16 million a year earlier and up 5.7% from the prior quarter.
Cintas (CTAS) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Tax Provisions was $505.37 million, up 11.8% from FY2025.
- Tax Provisions has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $451.92 million in FY2025 (+12.4%), $402.04 million in FY2024 (+16.5%), $345.14 million in FY2023 (+31.2%) and $263.01 million in FY2022 (+48.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Tax Provisions in data going back to fiscal Q1 2010.
- Year-over-year, Tax Provisions has increased for seven consecutive quarters, with growth averaging 12.4% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q1 2022 (growth of 63.1%), and the weakest in fiscal Q1 2025 (a decline of 7.4%).
- Business Quant data shows CTAS's Tax Provisions at $130 million (Q3 2026), $133.16 million (Q2 2026) and $104.77 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 37.90 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 45.84 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 40.97 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 137.44 Mn |
| Feb 28, 2026 | 130.00 Mn |
| Nov 30, 2025 | 133.16 Mn |
| Aug 31, 2025 | 104.77 Mn |
| May 31, 2025 | 127.16 Mn |
| Feb 28, 2025 | 122.94 Mn |
| Nov 30, 2024 | 117.19 Mn |
| Aug 31, 2024 | 84.63 Mn |
| May 31, 2024 | 112.82 Mn |
| Feb 29, 2024 | 98.62 Mn |
| Nov 30, 2023 | 99.25 Mn |
| Aug 31, 2023 | 91.35 Mn |
| May 31, 2023 | 99.67 Mn |
| Feb 28, 2023 | 92.54 Mn |
| Nov 30, 2022 | 92.07 Mn |
| Aug 31, 2022 | 60.87 Mn |
| May 31, 2022 | 86.99 Mn |
| Feb 28, 2022 | 70.18 Mn |
| Nov 30, 2021 | 64.71 Mn |
| Aug 31, 2021 | 41.12 Mn |
Cintas Tax Provisions 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=tax-provisions&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();