Cooper Companies (COO) Total Liabilities (2009 - 2026)
Cooper Companies (COO) recorded Total Liabilities of $4.35 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.0% from $4.02 billion a year earlier and up 2.4% from the prior quarter.
Cooper Companies (COO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies reported Total Liabilities of $4.16 billion, down 1.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $4.23 billion in FY2024 (+3.0%), $4.11 billion in FY2023 (-4.9%), $4.32 billion in FY2022 (+62.1%) and $2.66 billion in FY2021 (-8.5%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities since fiscal Q3 2022.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 67.1% in fiscal Q2 2022, against a decline of 12.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.24 billion (Q2 2026), $4.06 billion (Q1 2026) and $4.16 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 4.35 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.35 Bn |
| Apr 30, 2026 | 4.24 Bn |
| Jan 31, 2026 | 4.06 Bn |
| Oct 31, 2025 | 4.16 Bn |
| Jul 31, 2025 | 4.02 Bn |
| Apr 30, 2025 | 4.13 Bn |
| Jan 31, 2025 | 4.09 Bn |
| Oct 31, 2024 | 4.23 Bn |
| Jul 31, 2024 | 4.18 Bn |
| Apr 30, 2024 | 4.24 Bn |
| Jan 31, 2024 | 4.34 Bn |
| Oct 31, 2023 | 4.11 Bn |
| Jul 31, 2023 | 4.17 Bn |
| Apr 30, 2023 | 4.16 Bn |
| Jan 31, 2023 | 4.23 Bn |
| Oct 31, 2022 | 4.32 Bn |
| Jul 31, 2022 | 4.47 Bn |
| Apr 30, 2022 | 4.76 Bn |
| Jan 31, 2022 | 4.74 Bn |
| Oct 31, 2021 | 2.66 Bn |
Cooper Companies 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=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();