Cooper Companies (COO) Retained Earnings (2009 - 2026)
Cooper Companies (COO) reported Retained Earnings of $8.13 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 7.5% from $7.56 billion a year earlier and up 5.6% from the prior quarter.
Cooper Companies (COO) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies posted Retained Earnings of $7.64 billion, up 5.2% from FY2024.
- Retained Earnings has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- By fiscal year, Retained Earnings came in at $7.27 billion in FY2024 (+5.7%), $6.88 billion in FY2023 (+4.4%), $6.58 billion in FY2022 (+6.2%) and $6.2 billion in FY2021 (+90.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q4 2009.
- Year over year, Retained Earnings has now increased in each of the last 61 quarters, with growth averaging 5.6% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 3.2% (fiscal Q2 2026) and 90.1% (fiscal Q4 2021) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.7 billion (Q2 2026), $7.77 billion (Q1 2026) and $7.64 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 4.53 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 8.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.13 Bn |
| Apr 30, 2026 | 7.70 Bn |
| Jan 31, 2026 | 7.77 Bn |
| Oct 31, 2025 | 7.64 Bn |
| Jul 31, 2025 | 7.56 Bn |
| Apr 30, 2025 | 7.46 Bn |
| Jan 31, 2025 | 7.37 Bn |
| Oct 31, 2024 | 7.27 Bn |
| Jul 31, 2024 | 7.15 Bn |
| Apr 30, 2024 | 7.05 Bn |
| Jan 31, 2024 | 6.96 Bn |
| Oct 31, 2023 | 6.88 Bn |
| Jul 31, 2023 | 6.79 Bn |
| Apr 30, 2023 | 6.71 Bn |
| Jan 31, 2023 | 6.67 Bn |
| Oct 31, 2022 | 6.58 Bn |
| Jul 31, 2022 | 6.52 Bn |
| Apr 30, 2022 | 6.42 Bn |
| Jan 31, 2022 | 6.30 Bn |
| Oct 31, 2021 | 6.20 Bn |
Cooper Companies Retained Earnings 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=retained-earnings&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();