Cooper Companies (COO) Operating Income (2009 - 2026)
Cooper Companies (COO) recorded Operating Income of $222 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 26.4% from $175.7 million a year earlier.
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Analysis
Cooper Companies (COO) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Cooper Companies' Operating Income came in at $544.2 million as of Jul 31, 2026, down 26.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $682.9 million, down 3.2% from FY2024.
- Annual Operating Income has a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Income came in at $705.7 million in FY2024 (+32.4%), $533.1 million in FY2023 (+5.0%), $507.6 million in FY2022 (+0.4%) and $505.8 million in FY2021 (+62.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Income in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Income rose in five of the last seven quarters, with growth averaging 12.1%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 67.9% in fiscal Q2 2024, against a decline of 29.2% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$31 million (Q2 2026), $212.8 million (Q1 2026) and $140.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 592.60 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 222.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 222.00 Mn |
| Apr 30, 2026 | -31.00 Mn |
| Jan 31, 2026 | 212.80 Mn |
| Oct 31, 2025 | 140.40 Mn |
| Jul 31, 2025 | 175.70 Mn |
| Apr 30, 2025 | 184.80 Mn |
| Jan 31, 2025 | 182.00 Mn |
| Oct 31, 2024 | 198.40 Mn |
| Jul 31, 2024 | 192.50 Mn |
| Apr 30, 2024 | 161.70 Mn |
| Jan 31, 2024 | 153.10 Mn |
| Oct 31, 2023 | 135.70 Mn |
| Jul 31, 2023 | 151.60 Mn |
| Apr 30, 2023 | 96.30 Mn |
| Jan 31, 2023 | 149.50 Mn |
| Oct 31, 2022 | 103.50 Mn |
| Jul 31, 2022 | 140.60 Mn |
| Apr 30, 2022 | 132.70 Mn |
| Jan 31, 2022 | 130.80 Mn |
| Oct 31, 2021 | 128.50 Mn |
API Access
Cooper Companies Operating Income 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=operating-income&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();