Cooper Companies (COO) EV to EBITDA (2010 - 2026)
Cooper Companies' (COO) EV to EBITDA came in at 14.65 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.8% from 12.54 a year earlier and up 6.6% from the prior quarter.
Cooper Companies (COO) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EV to EBITDA at Cooper Companies was 14.24, up 16.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was 12.81, down 33.4% from FY2024.
- In prior fiscal years, Cooper Companies' EV to EBITDA was 19.23 in FY2024 (+13.1%), 17.01 in FY2023 (+8.8%), 15.63 in FY2022 (-37.7%) and 25.10 in FY2021 (-3.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EV to EBITDA increased in two of the last eight quarters, with an average decline of 11.2%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q3 2023, with growth of 21.6%; the weakest was fiscal Q4 2022, with a decline of 37.7%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 13.73 (Q2 2026), 14.38 (Q1 2026) and 12.81 (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 | 14.65 |
| Apr 30, 2026 | 13.73 |
| Jan 31, 2026 | 14.38 |
| Oct 31, 2025 | 12.81 |
| Jul 31, 2025 | 12.54 |
| Apr 30, 2025 | 14.43 |
| Jan 31, 2025 | 17.39 |
| Oct 31, 2024 | 19.23 |
| Jul 31, 2024 | 18.11 |
| Apr 30, 2024 | 17.90 |
| Jan 31, 2024 | 20.18 |
| Oct 31, 2023 | 17.01 |
| Jul 31, 2023 | 22.26 |
| Apr 30, 2023 | 22.32 |
| Jan 31, 2023 | 19.45 |
| Oct 31, 2022 | 15.63 |
| Jul 31, 2022 | 18.31 |
| Apr 30, 2022 | 21.11 |
| Jan 31, 2022 | 23.59 |
| Oct 31, 2021 | 25.10 |
Cooper Companies EV to EBITDA 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=ev-to-ebitda&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();