Cintas (CTAS) Other Non-Current Liabilities (2010 - 2026)
Cintas' Other Non-Current Liabilities was $540.92 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 16.0% from $466.15 million a year earlier and up 5.3% from the prior quarter.
Cintas (CTAS) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Other Non-Current Liabilities at Cintas came in at $513.91 million, up 22.1% from FY2025.
- Other Non-Current Liabilities has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $420.78 million in FY2025 (+12.0%), $375.66 million in FY2024 (+14.1%), $329.27 million in FY2023 (+3.1%) and $319.4 million in FY2022 (-29.7%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q2 2021.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 14 straight quarters, with growth averaging 15.6% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q4 2026 (growth of 22.1%); the worst was fiscal Q4 2022 (a decline of 29.7%).
- Per Business Quant data, CTAS's Other Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $513.91 million (Q4 2026), $486.26 million (Q3 2026) and $472.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 540.92 Mn |
| May 31, 2026 | 513.91 Mn |
| Feb 28, 2026 | 486.26 Mn |
| Nov 30, 2025 | 472.62 Mn |
| Aug 31, 2025 | 466.15 Mn |
| May 31, 2025 | 420.78 Mn |
| Feb 28, 2025 | 417.79 Mn |
| Nov 30, 2024 | 419.79 Mn |
| Aug 31, 2024 | 412.14 Mn |
| May 31, 2024 | 375.66 Mn |
| Feb 29, 2024 | 368.75 Mn |
| Nov 30, 2023 | 351.37 Mn |
| Aug 31, 2023 | 354.72 Mn |
| May 31, 2023 | 329.27 Mn |
| Feb 28, 2023 | 322.65 Mn |
| Nov 30, 2022 | 327.56 Mn |
| Aug 31, 2022 | 325.49 Mn |
| May 31, 2022 | 319.40 Mn |
| Feb 28, 2022 | 345.78 Mn |
| Nov 30, 2021 | 408.23 Mn |
Cintas Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();