Cintas (CTAS) Total Non-Current Liabilities (2010 - 2026)
Cintas (CTAS) reported Total Non-Current Liabilities of $2.7 billion for fiscal Q4 2026 (quarter ended May 31, 2026), down 22.7% from $3.5 billion a year earlier and down 25.5% from the prior quarter.
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Analysis
Cintas (CTAS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Cintas' Total Non-Current Liabilities record includes 65 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $3.5 billion in FY2025 (+15.6%), $3.02 billion in FY2024 (-12.4%), $3.45 billion in FY2023 (+1.4%) and $3.41 billion in FY2022 (+30.3%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2022.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 1.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q3 2023 (growth of 53.0%); the low point was fiscal Q2 2022 (a decline of 32.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.63 billion (Q3 2026), $3.6 billion (Q2 2026) and $3.57 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 9.92 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 1.79 Bn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 2.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.70 Bn |
| Feb 28, 2026 | 3.63 Bn |
| Nov 30, 2025 | 3.60 Bn |
| Aug 31, 2025 | 3.57 Bn |
| May 31, 2025 | 3.50 Bn |
| Feb 28, 2025 | 3.08 Bn |
| Nov 30, 2024 | 3.07 Bn |
| Aug 31, 2024 | 3.06 Bn |
| May 31, 2024 | 3.02 Bn |
| Feb 29, 2024 | 3.47 Bn |
| Nov 30, 2023 | 3.46 Bn |
| Aug 31, 2023 | 3.47 Bn |
| May 31, 2023 | 3.45 Bn |
| Feb 28, 2023 | 3.44 Bn |
| Nov 30, 2022 | 3.44 Bn |
| Aug 31, 2022 | 3.43 Bn |
| May 31, 2022 | 3.41 Bn |
| Feb 28, 2022 | 2.25 Bn |
| Nov 30, 2021 | 2.28 Bn |
| Aug 31, 2021 | 2.28 Bn |
API Access
Cintas Total 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=total-non-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();