Cooper Companies (COO) Consolidated Net Income (2009 - 2026)
Cooper Companies' Consolidated Net Income was $432.8 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 340.3% from $98.3 million a year earlier.
Cooper Companies (COO) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cooper Companies' Consolidated Net Income was $570.3 million through Jul 31, 2026, up 39.8% year-over-year; for FY2025 (ended Oct 31, 2025), it was $374.9 million, down 4.4% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier fiscal years, Consolidated Net Income was $392.3 million in FY2024 (+33.3%), $294.2 million in FY2023 (-23.7%), $385.8 million in FY2022 (-86.9%) and $2.94 billion in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Consolidated Net Income since fiscal Q3 2021.
- Compared with a year earlier, Consolidated Net Income was higher in four of the last seven quarters, with growth averaging 56.8%.
- The best year-over-year quarter for Consolidated Net Income over five years was fiscal Q3 2026 (growth of 340.3%); the worst was fiscal Q1 2022 (a decline of 95.5%).
- Per Business Quant data, COO's Consolidated Net Income in the three fiscal quarters before Q3 2026 was -$77.9 million (Q2 2026), $130.8 million (Q1 2026) and $84.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 524.40 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 377.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 241.40 Mn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 432.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 432.80 Mn |
| Apr 30, 2026 | -77.90 Mn |
| Jan 31, 2026 | 130.80 Mn |
| Oct 31, 2025 | 84.60 Mn |
| Jul 31, 2025 | 98.30 Mn |
| Apr 30, 2025 | 87.70 Mn |
| Jan 31, 2025 | 104.30 Mn |
| Oct 31, 2024 | 117.50 Mn |
| Jul 31, 2024 | 104.70 Mn |
| Apr 30, 2024 | 88.90 Mn |
| Jan 31, 2024 | 81.20 Mn |
| Oct 31, 2023 | 84.50 Mn |
| Jul 31, 2023 | 85.30 Mn |
| Apr 30, 2023 | 39.80 Mn |
| Jan 31, 2023 | 84.60 Mn |
| Oct 31, 2022 | 65.60 Mn |
| Jul 31, 2022 | 98.40 Mn |
| Apr 30, 2022 | 126.60 Mn |
| Jan 31, 2022 | 95.30 Mn |
| Oct 31, 2021 | 110.30 Mn |
Cooper Companies Consolidated Net 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=consolidated-net-income&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();