Cooper Companies (COO) Revenue (2009 - 2026)
Cooper Companies (COO) posted Revenue of $1.07 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.6% from $1.06 billion a year earlier but down 1.4% from the prior quarter.
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Analysis
Cooper Companies (COO) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Revenue at Cooper Companies was $4.24 billion, up 4.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $4.09 billion, up 5.1% from FY2024.
- Annual Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In prior fiscal years, Cooper Companies' Revenue was $3.9 billion in FY2024 (+8.4%), $3.59 billion in FY2023 (+8.6%), $3.31 billion in FY2022 (+13.2%) and $2.92 billion in FY2021 (+20.2%).
- Quarterly Revenue has run from a low of $759.1 million in fiscal Q4 2021 to a high of $1.08 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last 23 quarters, with growth averaging 5.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 0.6% (fiscal Q3 2026) to 15.7% (fiscal Q1 2022).
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.08 billion (Q2 2026), $1.02 billion (Q1 2026) and $1.07 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Cooper Companies | 10.75 Bn | 10.22 Bn | 711.90 Mn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.07 Bn |
| Apr 30, 2026 | 1.08 Bn |
| Jan 31, 2026 | 1.02 Bn |
| Oct 31, 2025 | 1.07 Bn |
| Jul 31, 2025 | 1.06 Bn |
| Apr 30, 2025 | 1.00 Bn |
| Jan 31, 2025 | 964.70 Mn |
| Oct 31, 2024 | 1.02 Bn |
| Jul 31, 2024 | 1.00 Bn |
| Apr 30, 2024 | 942.60 Mn |
| Jan 31, 2024 | 931.60 Mn |
| Oct 31, 2023 | 927.10 Mn |
| Jul 31, 2023 | 930.20 Mn |
| Apr 30, 2023 | 877.40 Mn |
| Jan 31, 2023 | 858.50 Mn |
| Oct 31, 2022 | 848.10 Mn |
| Jul 31, 2022 | 843.40 Mn |
| Apr 30, 2022 | 829.80 Mn |
| Jan 31, 2022 | 787.20 Mn |
| Oct 31, 2021 | 759.10 Mn |
API Access
Cooper Companies Revenue 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=revenue&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();