Cooper Companies (COO) Non-Current Assets (2009 - 2026)
Cooper Companies (COO) posted Non-Current Assets of $10.39 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 1.5% from $10.24 billion a year earlier and up 2.1% from the prior quarter.
Powered by 
Analysis
Cooper Companies (COO) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies' Non-Current Assets came in at $10.29 billion, down 0.7% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior fiscal years, Cooper Companies' Non-Current Assets was $10.36 billion in FY2024 (+4.1%), $9.95 billion in FY2023 (unchanged), $9.96 billion in FY2022 (+22.3%) and $8.14 billion in FY2021 (+49.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Non-Current Assets increased in five of the last eight quarters, with growth averaging 0.7%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2021, with growth of 49.0%; the weakest was fiscal Q2 2026, with a decline of 1.0%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $10.18 billion (Q2 2026), $10.29 billion (Q1 2026) and $10.29 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 10.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.39 Bn |
| Apr 30, 2026 | 10.18 Bn |
| Jan 31, 2026 | 10.29 Bn |
| Oct 31, 2025 | 10.29 Bn |
| Jul 31, 2025 | 10.24 Bn |
| Apr 30, 2025 | 10.29 Bn |
| Jan 31, 2025 | 10.24 Bn |
| Oct 31, 2024 | 10.36 Bn |
| Jul 31, 2024 | 10.18 Bn |
| Apr 30, 2024 | 10.19 Bn |
| Jan 31, 2024 | 10.24 Bn |
| Oct 31, 2023 | 9.95 Bn |
| Jul 31, 2023 | 9.99 Bn |
| Apr 30, 2023 | 9.94 Bn |
| Jan 31, 2023 | 9.98 Bn |
| Oct 31, 2022 | 9.96 Bn |
| Jul 31, 2022 | 9.95 Bn |
| Apr 30, 2022 | 10.04 Bn |
| Jan 31, 2022 | 9.96 Bn |
| Oct 31, 2021 | 8.14 Bn |
API Access
Cooper Companies Non-Current Assets 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=non-current-assets&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();