Cooper Companies (COO) Enterprise Value (2009 - 2026)
Cooper Companies (COO) posted Enterprise Value of $13.59 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 2.4% from $13.93 billion a year earlier but up 12.2% from the prior quarter.
Cooper Companies (COO) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Enterprise Value at Cooper Companies was $13.22 billion, down 2.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $13.58 billion, down 34.6% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior fiscal years, Cooper Companies' Enterprise Value was $20.79 billion in FY2024 (+35.7%), $15.32 billion in FY2023 (+14.8%), $13.34 billion in FY2022 (-34.8%) and $20.46 billion in FY2021 (+31.6%).
- Quarterly Enterprise Value has run from a low of $12.12 billion in fiscal Q2 2026 to a high of $20.79 billion in fiscal Q4 2024 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last six quarters, with an average decline of 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2024, with growth of 35.7%; the weakest was fiscal Q4 2022, with a decline of 34.8%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $12.12 billion (Q2 2026), $15.75 billion (Q1 2026) and $13.58 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Cooper Companies | 11.82 Bn | 11.29 Bn | 711.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.59 Bn |
| Apr 30, 2026 | 12.12 Bn |
| Jan 31, 2026 | 15.75 Bn |
| Oct 31, 2025 | 13.58 Bn |
| Jul 31, 2025 | 13.93 Bn |
| Apr 30, 2025 | 16.18 Bn |
| Jan 31, 2025 | 19.20 Bn |
| Oct 31, 2024 | 20.79 Bn |
| Jul 31, 2024 | 18.47 Bn |
| Apr 30, 2024 | 17.62 Bn |
| Jan 31, 2024 | 18.40 Bn |
| Oct 31, 2023 | 15.32 Bn |
| Jul 31, 2023 | 19.25 Bn |
| Apr 30, 2023 | 18.77 Bn |
| Jan 31, 2023 | 17.12 Bn |
| Oct 31, 2022 | 13.34 Bn |
| Jul 31, 2022 | 15.88 Bn |
| Apr 30, 2022 | 17.40 Bn |
| Jan 31, 2022 | 19.31 Bn |
| Oct 31, 2021 | 20.46 Bn |
Cooper Companies Enterprise Value 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=enterprise-value&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();