Cintas (CTAS) Total Current Liabilities (2010 - 2026)
Cintas' Total Current Liabilities came in at $2.7 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 79.4% from $1.51 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Cintas (CTAS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Cintas' Total Current Liabilities was $2.69 billion, up 63.4% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $1.64 billion in FY2025 (-10.1%), $1.83 billion in FY2024 (+48.7%), $1.23 billion in FY2023 (-14.2%) and $1.43 billion in FY2022 (-25.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 25.7%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q3 2022 (growth of 106.5%), and the weakest in fiscal Q3 2023 (a decline of 47.1%).
- Business Quant data shows CTAS's Total Current Liabilities at $2.69 billion (Q4 2026), $1.82 billion (Q3 2026) and $2.08 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 938.10 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 866.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 3.00 Bn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.94 Bn | 8.04 Bn | 243.21 Mn | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.70 Bn |
| May 31, 2026 | 2.69 Bn |
| Feb 28, 2026 | 1.82 Bn |
| Nov 30, 2025 | 2.08 Bn |
| Aug 31, 2025 | 1.51 Bn |
| May 31, 2025 | 1.64 Bn |
| Feb 28, 2025 | 1.94 Bn |
| Nov 30, 2024 | 2.01 Bn |
| Aug 31, 2024 | 1.98 Bn |
| May 31, 2024 | 1.83 Bn |
| Feb 29, 2024 | 1.27 Bn |
| Nov 30, 2023 | 1.36 Bn |
| Aug 31, 2023 | 1.17 Bn |
| May 31, 2023 | 1.23 Bn |
| Feb 28, 2023 | 1.39 Bn |
| Nov 30, 2022 | 1.55 Bn |
| Aug 31, 2022 | 1.60 Bn |
| May 31, 2022 | 1.43 Bn |
| Feb 28, 2022 | 2.62 Bn |
| Nov 30, 2021 | 2.18 Bn |
API Access
Cintas Total 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-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();