Cintas (CTAS) Total Liabilities (2010 - 2026)
Cintas' Total Liabilities came in at $5.45 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 7.2% from $5.08 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Cintas (CTAS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Total Liabilities was $5.39 billion, up 4.8% from FY2025.
- Total Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $5.14 billion in FY2025 (+5.9%), $4.85 billion in FY2024 (+3.6%), $4.68 billion in FY2023 (-3.2%) and $4.84 billion in FY2022 (+6.4%).
- The five-year range for quarterly Total Liabilities is $4.45 billion (fiscal Q2 2022) to $5.68 billion (fiscal Q2 2026).
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 12.2%), and the weakest in fiscal Q2 2022 (a decline of 8.3%).
- Business Quant data shows CTAS's Total Liabilities at $5.39 billion (Q4 2026), $5.45 billion (Q3 2026) and $5.68 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 1.97 Bn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 7.36 Bn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 10.58 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn | 2.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 5.45 Bn |
| May 31, 2026 | 5.39 Bn |
| Feb 28, 2026 | 5.45 Bn |
| Nov 30, 2025 | 5.68 Bn |
| Aug 31, 2025 | 5.08 Bn |
| May 31, 2025 | 5.14 Bn |
| Feb 28, 2025 | 5.02 Bn |
| Nov 30, 2024 | 5.07 Bn |
| Aug 31, 2024 | 5.05 Bn |
| May 31, 2024 | 4.85 Bn |
| Feb 29, 2024 | 4.74 Bn |
| Nov 30, 2023 | 4.82 Bn |
| Aug 31, 2023 | 4.64 Bn |
| May 31, 2023 | 4.68 Bn |
| Feb 28, 2023 | 4.83 Bn |
| Nov 30, 2022 | 5.00 Bn |
| Aug 31, 2022 | 5.03 Bn |
| May 31, 2022 | 4.84 Bn |
| Feb 28, 2022 | 4.87 Bn |
| Nov 30, 2021 | 4.45 Bn |
API Access
Cintas Total 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-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();