Cooper Companies (COO) Total Non-Current Liabilities (2010 - 2026)
Cooper Companies (COO) recorded Total Non-Current Liabilities of $4.09 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.7% from $3.76 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Cooper Companies (COO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies reported Total Non-Current Liabilities of $3.87 billion, down 1.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $3.92 billion in FY2024 (+1.3%), $3.87 billion in FY2023 (-5.5%), $4.09 billion in FY2022 (+62.1%) and $2.52 billion in FY2021 (-8.2%).
- The fiscal Q3 2026 figure is the highest quarterly Total Non-Current Liabilities since fiscal Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last eight quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 71.7% in fiscal Q2 2022, against a decline of 12.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.98 billion (Q2 2026), $3.78 billion (Q1 2026) and $3.87 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 4.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.09 Bn |
| Apr 30, 2026 | 3.97 Bn |
| Jan 31, 2026 | 3.78 Bn |
| Oct 31, 2025 | 3.87 Bn |
| Jul 31, 2025 | 3.74 Bn |
| Apr 30, 2025 | 3.83 Bn |
| Jan 31, 2025 | 3.78 Bn |
| Oct 31, 2024 | 3.86 Bn |
| Jul 31, 2024 | 3.85 Bn |
| Apr 30, 2024 | 3.91 Bn |
| Jan 31, 2024 | 3.97 Bn |
| Oct 31, 2023 | 3.78 Bn |
| Jul 31, 2023 | 4.08 Bn |
| Apr 30, 2023 | 4.07 Bn |
| Jan 31, 2023 | 4.11 Bn |
| Oct 31, 2022 | 3.98 Bn |
| Jul 31, 2022 | 4.35 Bn |
| Apr 30, 2022 | 4.64 Bn |
| Jan 31, 2022 | 4.60 Bn |
| Oct 31, 2021 | 2.52 Bn |
API Access
Cooper Companies 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=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "COO", "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=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();