Cintas (CTAS) Depreciation & Amortization (CF) (2009 - 2026)
Cintas (CTAS) reported Depreciation & Amortization (CF) of $81.6 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 5.1% from $77.66 million a year earlier and up 1.8% from the prior quarter.
Cintas (CTAS) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas posted Depreciation & Amortization (CF) of $318.64 million, up 5.0% from FY2025.
- Depreciation & Amortization (CF) has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $303.38 million in FY2025 (+8.0%), $280.87 million in FY2024 (+5.1%), $267.22 million in FY2023 (+7.2%) and $249.38 million in FY2022 (+2.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Depreciation & Amortization (CF) in data going back to fiscal Q1 2010.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last eight quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q4 2023 (growth of 17.7%); the low point was fiscal Q4 2024 (a decline of 4.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $80.15 million (Q3 2026), $79.3 million (Q2 2026) and $77.59 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 584.58 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 33.61 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 136.10 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 46.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 45.18 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 14.77 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 81.60 Mn |
| Feb 28, 2026 | 80.15 Mn |
| Nov 30, 2025 | 79.30 Mn |
| Aug 31, 2025 | 77.59 Mn |
| May 31, 2025 | 77.66 Mn |
| Feb 28, 2025 | 76.37 Mn |
| Nov 30, 2024 | 75.50 Mn |
| Aug 31, 2024 | 73.84 Mn |
| May 31, 2024 | 73.23 Mn |
| Feb 29, 2024 | 70.83 Mn |
| Nov 30, 2023 | 69.19 Mn |
| Aug 31, 2023 | 67.61 Mn |
| May 31, 2023 | 76.42 Mn |
| Feb 28, 2023 | 64.24 Mn |
| Nov 30, 2022 | 63.50 Mn |
| Aug 31, 2022 | 63.06 Mn |
| May 31, 2022 | 64.91 Mn |
| Feb 28, 2022 | 62.19 Mn |
| Nov 30, 2021 | 61.32 Mn |
| Aug 31, 2021 | 60.96 Mn |
Cintas Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();