Cintas (CTAS) Change in Accrued Expenses (2009 - 2026)
Cintas' Change in Accured Expenses came in at -$77.8 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), compared with -$101.11 million a year earlier.
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Analysis
Cintas (CTAS) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Cintas reported Change in Accured Expenses of $30.5 million, down 61.0% year-over-year; for FY2026 (ended May 31, 2026), it came in at $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 five-year range for quarterly Change in Accured Expenses is -$124.41 million (fiscal Q1 2024) to $156.26 million (fiscal Q4 2024).
- 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 $60.14 million (Q4 2026), $37.48 million (Q3 2026) and $10.69 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 529.75 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | -148.01 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 32.99 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 52.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | -6.96 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 7.27 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -77.80 Mn |
| 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 |
API Access
Cintas Change in Accrued 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();