Cintas (CTAS) Accumulated Expenses (2010 - 2026)
Cintas' Accumulated Expenses came in at $841.22 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 7.9% from $779.67 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Cintas (CTAS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Accumulated Expenses was $889.2 million, up 1.6% from FY2025.
- Accumulated Expenses has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $875.08 million in FY2025 (+14.9%), $761.28 million in FY2024 (+20.4%), $632.5 million in FY2023 (+7.4%) and $588.95 million in FY2022 (+13.5%).
- The five-year range for quarterly Accumulated Expenses is $543.57 million (fiscal Q1 2023) to $889.2 million (fiscal Q4 2026).
- Year-over-year, Accumulated Expenses has increased for 14 consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2025 (growth of 21.8%), and the weakest in fiscal Q2 2022 (a decline of 24.5%).
- Business Quant data shows CTAS's Accumulated Expenses at $889.2 million (Q4 2026), $831.04 million (Q3 2026) and $797.71 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 841.22 Mn |
| May 31, 2026 | 889.20 Mn |
| Feb 28, 2026 | 831.04 Mn |
| Nov 30, 2025 | 797.71 Mn |
| Aug 31, 2025 | 779.67 Mn |
| May 31, 2025 | 875.08 Mn |
| Feb 28, 2025 | 825.03 Mn |
| Nov 30, 2024 | 753.99 Mn |
| Aug 31, 2024 | 717.09 Mn |
| May 31, 2024 | 761.28 Mn |
| Feb 29, 2024 | 720.55 Mn |
| Nov 30, 2023 | 619.29 Mn |
| Aug 31, 2023 | 592.37 Mn |
| May 31, 2023 | 632.50 Mn |
| Feb 28, 2023 | 610.86 Mn |
| Nov 30, 2022 | 556.21 Mn |
| Aug 31, 2022 | 543.57 Mn |
| May 31, 2022 | 588.95 Mn |
| Feb 28, 2022 | 622.80 Mn |
| Nov 30, 2021 | 597.17 Mn |
API Access
Cintas Accumulated Expenses 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=accumulated-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();