Cintas (CTAS) Accounts Payables (2010 - 2026)
Cintas (CTAS) posted Accounts Payables of $506.5 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 9.6% from $462.32 million a year earlier and up 9.8% from the prior quarter.
Cintas (CTAS) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Accounts Payables came in at $461.16 million, down 4.9% from FY2025.
- Annual Accounts Payables shows a five-year compound annual growth rate of 14.8% (FY2021 to FY2026).
- In prior fiscal years, Cintas' Accounts Payables was $485.11 million in FY2025 (+43.0%), $339.17 million in FY2024 (+12.2%), $302.29 million in FY2023 (+20.2%) and $251.5 million in FY2022 (+9.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Accounts Payables in data going back to fiscal Q4 2010.
- On a year-over-year basis, Accounts Payables increased in seven of the last eight quarters, with growth averaging 20.9%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q1 2023, with growth of 44.0%; the weakest was fiscal Q2 2022, with a decline of 12.3%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $461.16 million (Q4 2026), $481.01 million (Q3 2026) and $503.27 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 3.00 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 506.50 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 782.40 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 74.25 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 635.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 177.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 1.14 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 939.40 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | -1.47 Bn |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 220.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 506.50 Mn |
| May 31, 2026 | 461.16 Mn |
| Feb 28, 2026 | 481.01 Mn |
| Nov 30, 2025 | 503.27 Mn |
| Aug 31, 2025 | 462.32 Mn |
| May 31, 2025 | 485.11 Mn |
| Feb 28, 2025 | 408.46 Mn |
| Nov 30, 2024 | 418.26 Mn |
| Aug 31, 2024 | 395.93 Mn |
| May 31, 2024 | 339.17 Mn |
| Feb 29, 2024 | 307.94 Mn |
| Nov 30, 2023 | 316.70 Mn |
| Aug 31, 2023 | 314.74 Mn |
| May 31, 2023 | 302.29 Mn |
| Feb 28, 2023 | 281.65 Mn |
| Nov 30, 2022 | 310.99 Mn |
| Aug 31, 2022 | 292.32 Mn |
| May 31, 2022 | 251.50 Mn |
| Feb 28, 2022 | 235.05 Mn |
| Nov 30, 2021 | 240.32 Mn |
Cintas Accounts Payables 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=accounts-payables&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();