Cintas (CTAS) Change in Accured Expenses (2009 - 2026)
Cintas' Change in Accured Expenses came in at $60.14 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 34.3% from $44.78 million a year earlier and up 60.5% from the prior quarter.
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Analysis
Cintas (CTAS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cintas' Change in Accured Expenses was $7.19 million, down 92.2% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of -42.4% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $92.4 million in FY2025 (-5.5%), $97.75 million in FY2024 (+136.6%), $41.31 million in FY2023 and -$9.24 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Change in Accured Expenses since fiscal Q3 2025.
- Year-over-year, Change in Accured Expenses increased in two of the last six quarters, with growth averaging 13.3%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2023 (growth of 286.1%), and the weakest in fiscal Q3 2023 (a decline of 97.8%).
- Business Quant data shows CTAS's Change in Accured Expenses at $37.48 million (Q3 2026), $10.69 million (Q2 2026) and -$101.11 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 60.14 Mn |
| Feb 28, 2026 | 37.48 Mn |
| Nov 30, 2025 | 10.69 Mn |
| Aug 31, 2025 | -101.11 Mn |
| May 31, 2025 | 44.78 Mn |
| Feb 28, 2025 | 101.38 Mn |
| Nov 30, 2024 | 33.21 Mn |
| Aug 31, 2024 | -86.97 Mn |
| May 31, 2024 | 156.26 Mn |
| Feb 29, 2024 | 28.21 Mn |
| Nov 30, 2023 | 37.68 Mn |
| Aug 31, 2023 | -124.41 Mn |
| May 31, 2023 | 73.98 Mn |
| Feb 28, 2023 | 686,000.00 |
| Nov 30, 2022 | 26.61 Mn |
| Aug 31, 2022 | -59.96 Mn |
| May 31, 2022 | 19.16 Mn |
| Feb 28, 2022 | 31.59 Mn |
| Nov 30, 2021 | 25.85 Mn |
| Aug 31, 2021 | -85.83 Mn |
API Access
Cintas Change in Accured 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=change-in-accured-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();