Cooper Companies (COO) EBITDA (2009 - 2026)
Cooper Companies' EBITDA was $316.7 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.8% from $271.1 million a year earlier and up 391.8% from the prior quarter.
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Analysis
Cooper Companies (COO) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cooper Companies' EBITDA was $928.2 million through Jul 31, 2026, down 16.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.06 billion, down 1.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $1.08 billion in FY2024 (+20.0%), $900.8 million in FY2023 (+5.5%), $853.7 million in FY2022 (+4.7%) and $815.1 million in FY2021 (+36.1%).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q4 2009.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with an average decline of 3.2%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2024 (growth of 39.0%); the worst was fiscal Q2 2026 (a decline of 76.8%).
- Per Business Quant data, COO's EBITDA in the three fiscal quarters before Q3 2026 was $64.4 million (Q2 2026), $308.3 million (Q1 2026) and $238.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 316.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 316.70 Mn |
| Apr 30, 2026 | 64.40 Mn |
| Jan 31, 2026 | 308.30 Mn |
| Oct 31, 2025 | 238.80 Mn |
| Jul 31, 2025 | 271.10 Mn |
| Apr 30, 2025 | 277.40 Mn |
| Jan 31, 2025 | 273.00 Mn |
| Oct 31, 2024 | 289.40 Mn |
| Jul 31, 2024 | 281.50 Mn |
| Apr 30, 2024 | 260.00 Mn |
| Jan 31, 2024 | 249.90 Mn |
| Oct 31, 2023 | 228.40 Mn |
| Jul 31, 2023 | 246.10 Mn |
| Apr 30, 2023 | 187.10 Mn |
| Jan 31, 2023 | 239.20 Mn |
| Oct 31, 2022 | 192.50 Mn |
| Jul 31, 2022 | 222.30 Mn |
| Apr 30, 2022 | 226.10 Mn |
| Jan 31, 2022 | 212.80 Mn |
| Oct 31, 2021 | 205.90 Mn |
API Access
Cooper Companies 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=ebitda&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();