Cooper Companies (COO) Change in Other Operating Liabilities (2009 - 2026)
Cooper Companies (COO) reported Change in Other Operating Liabilities of $18.6 million for FY2025 (year ended Oct 31, 2025), down 7.5% from $20.1 million in FY2024.
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Analysis
Cooper Companies (COO) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
Dating back to FY2009, Cooper Companies' Change in Other Operating Liabilities record includes 17 fiscal years.
- Five-year annual Change in Other Operating Liabilities spans a low of -$86.5 million in FY2022 and a high of $20.1 million in FY2024.
- According to Business Quant data, Change in Other Operating Liabilities came in at $20.1 million in FY2024, -$6.4 million in FY2023, -$86.5 million in FY2022 and -$21.7 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 602.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Cooper Companies | 11.91 Bn | 11.38 Bn | 711.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -500,000.00 |
| Oct 31, 2025 | 18.60 Mn |
| Oct 31, 2023 | -6.40 Mn |
| Oct 31, 2022 | -45.80 Mn |
| Oct 31, 2021 | -21.70 Mn |
| Oct 31, 2011 | 12.90 Mn |
| Oct 31, 2010 | 35.12 Mn |
| Oct 31, 2009 | 1.95 Mn |
API Access
Cooper Companies Change in Other Operating 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=change-in-other-operating-liabilities&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();