Cooper Companies (COO) Other Non-Current Liabilities (2010 - 2026)
Cooper Companies (COO) reported Other Non-Current Liabilities of $257 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 2.4% from $263.2 million a year earlier and down 3.5% from the prior quarter.
Cooper Companies (COO) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies posted Other Non-Current Liabilities of $282.8 million, down 9.2% from FY2024.
- Other Non-Current Liabilities has a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- By fiscal year, Other Non-Current Liabilities came in at $311.6 million in FY2024 (+30.3%), $239.2 million in FY2023 (+6.2%), $225.2 million in FY2022 (+61.3%) and $139.6 million in FY2021 (-13.8%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Other Non-Current Liabilities since fiscal Q4 2023.
- Year over year, Other Non-Current Liabilities gained in two of the last eight quarters, with growth averaging 1.1%.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q2 2024 (growth of 206.4%); the low point was fiscal Q2 2023 (a decline of 28.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $266.4 million (Q2 2026), $277.2 million (Q1 2026) and $282.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 259.40 Mn |
| Apr 30, 2026 | 272.00 Mn |
| Jan 31, 2026 | 282.80 Mn |
| Oct 31, 2025 | 290.30 Mn |
| Jul 31, 2025 | 281.00 Mn |
| Apr 30, 2025 | 291.90 Mn |
| Jan 31, 2025 | 315.30 Mn |
| Oct 31, 2024 | 369.10 Mn |
| Jul 31, 2024 | 336.00 Mn |
| Apr 30, 2024 | 336.90 Mn |
| Jan 31, 2024 | 369.50 Mn |
| Oct 31, 2023 | 329.40 Mn |
| Jul 31, 2023 | 90.50 Mn |
| Apr 30, 2023 | 90.70 Mn |
| Jan 31, 2023 | 112.40 Mn |
| Oct 31, 2022 | 338.40 Mn |
| Jul 31, 2022 | 116.80 Mn |
| Apr 30, 2022 | 126.10 Mn |
| Jan 31, 2022 | 138.00 Mn |
| Oct 31, 2021 | 139.60 Mn |
Cooper Companies Other 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=other-non-current-liabilities&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();