Cooper Companies (COO) Operating Margin (2009 - 2026)
Cooper Companies (COO) reported Operating Margin of 20.82% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.25 percentage points from 16.57% a year earlier and up 23.69 percentage points from the prior quarter.
Cooper Companies (COO) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Cooper Companies' Operating Margin came in at 12.84%, down 5.47 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 16.69%, down 1.43 percentage points from FY2024.
- Operating Margin has a five-year change of +3.86 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at 18.12% in FY2024 (+3.28 pp), 14.84% in FY2023 (-0.51 pp), 15.34% in FY2022 (-1.96 pp) and 17.31% in FY2021 (+4.48 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Margin since fiscal Q4 2019.
- Year over year, Operating Margin gained in five of the last eight quarters, with an average year-over-year change of -1.94 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q2 2024 (a gain of 6.18 percentage points); the low point was fiscal Q2 2026 (a drop of 21.30 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -2.87% (Q2 2026), 20.78% (Q1 2026) and 13.18% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 29.48% |
| 10 | Cooper Companies | 11.82 Bn | 11.29 Bn | 711.90 Mn | 20.82% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.82% |
| Apr 30, 2026 | -2.87% |
| Jan 31, 2026 | 20.78% |
| Oct 31, 2025 | 13.18% |
| Jul 31, 2025 | 16.57% |
| Apr 30, 2025 | 18.44% |
| Jan 31, 2025 | 18.87% |
| Oct 31, 2024 | 19.48% |
| Jul 31, 2024 | 19.20% |
| Apr 30, 2024 | 17.15% |
| Jan 31, 2024 | 16.43% |
| Oct 31, 2023 | 14.64% |
| Jul 31, 2023 | 16.30% |
| Apr 30, 2023 | 10.98% |
| Jan 31, 2023 | 17.41% |
| Oct 31, 2022 | 12.20% |
| Jul 31, 2022 | 16.67% |
| Apr 30, 2022 | 15.99% |
| Jan 31, 2022 | 16.62% |
| Oct 31, 2021 | 16.93% |
Cooper Companies Operating Margin 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-margin&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();