Cintas (CTAS) Non-Current Debt (2010 - 2026)
Cintas' Non-Current Debt came in at -$450 million for fiscal Q4 2025 (quarter ended May 31, 2025).
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Analysis
Cintas (CTAS) Non-Current Debt (2010 - 2026) Analysis & Trends
For FY2025 (ended May 31, 2025), Cintas' Non-Current Debt was -$51.91 million.
- Going back by fiscal year, Non-Current Debt was -$13.45 million in FY2024, -$50 million in FY2023 and -$9.49 million in FY2022.
- The fiscal Q4 2025 figure represents the highest quarterly Non-Current Debt since fiscal Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.78 Bn | 107.06 Bn | 6.13 Bn | 5.03 Bn |
| 2 | Cintas | 87.70 Bn | 86.78 Bn | 1.55 Bn | 1.43 Bn |
| 3 | Iron Mountain | 34.02 Bn | 33.21 Bn | 1.07 Bn | 17.13 Bn |
| 4 | APi | 17.48 Bn | 14.52 Bn | 703.00 Mn | 3.22 Bn |
| 5 | Rollins | 16.12 Bn | 15.66 Bn | 569.95 Mn | 487.11 Mn |
| 6 | UL Solutions | 15.13 Bn | 13.89 Bn | 417.00 Mn | 301.00 Mn |
| 7 | Gartner | 14.69 Bn | 8.38 Bn | 1.19 Bn | 2.98 Bn |
| 8 | Aramark | 14.68 Bn | 12.62 Bn | 430.34 Mn | 6.09 Bn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | Tetra Tech | 9.12 Bn | 8.23 Bn | 243.21 Mn | 801.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.43 Bn |
| May 31, 2026 | 1.43 Bn |
| Feb 28, 2026 | 2.43 Bn |
| Nov 30, 2025 | 2.43 Bn |
| Aug 31, 2025 | 2.43 Bn |
| May 31, 2025 | 2.42 Bn |
| Feb 28, 2025 | 2.03 Bn |
| Nov 30, 2024 | 2.03 Bn |
| Aug 31, 2024 | 2.03 Bn |
| May 31, 2024 | 2.03 Bn |
| Feb 29, 2024 | 2.47 Bn |
| Nov 30, 2023 | 2.47 Bn |
| Aug 31, 2023 | 2.48 Bn |
| May 31, 2023 | 2.49 Bn |
| Feb 28, 2023 | 2.49 Bn |
| Nov 30, 2022 | 2.49 Bn |
| Aug 31, 2022 | 2.48 Bn |
| May 31, 2022 | 2.48 Bn |
| Feb 28, 2022 | 1.34 Bn |
| Nov 30, 2021 | 1.34 Bn |
API Access
Cintas Non-Current Debt 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=non-current-debt&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();