Cooper Companies (COO) Cost of Revenue (2009 - 2026)
Cooper Companies' Cost of Revenue was $354.3 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 3.8% from $368.3 million a year earlier but up 2.4% from the prior quarter.
Cooper Companies (COO) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cooper Companies' Cost of Revenue was $1.44 billion through Jul 31, 2026, up 8.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.41 billion, up 8.5% from FY2024.
- Cost of Revenue has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier fiscal years, Cost of Revenue was $1.3 billion in FY2024 (+5.2%), $1.24 billion in FY2023 (+5.7%), $1.17 billion in FY2022 (+20.9%) and $966.7 million in FY2021 (+7.9%).
- Quarterly Cost of Revenue has moved between $257.2 million (fiscal Q4 2021) and $414.3 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2022 (growth of 27.9%); the worst was fiscal Q3 2026 (a decline of 3.8%).
- Per Business Quant data, COO's Cost of Revenue in the three fiscal quarters before Q3 2026 was $346.1 million (Q2 2026), $328.9 million (Q1 2026) and $414.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Cooper Companies | 10.82 Bn | 10.29 Bn | 711.90 Mn | 354.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 354.30 Mn |
| Apr 30, 2026 | 346.10 Mn |
| Jan 31, 2026 | 328.90 Mn |
| Oct 31, 2025 | 414.30 Mn |
| Jul 31, 2025 | 368.30 Mn |
| Apr 30, 2025 | 323.20 Mn |
| Jan 31, 2025 | 304.50 Mn |
| Oct 31, 2024 | 340.70 Mn |
| Jul 31, 2024 | 339.80 Mn |
| Apr 30, 2024 | 311.40 Mn |
| Jan 31, 2024 | 307.80 Mn |
| Oct 31, 2023 | 320.60 Mn |
| Jul 31, 2023 | 320.20 Mn |
| Apr 30, 2023 | 294.50 Mn |
| Jan 31, 2023 | 300.00 Mn |
| Oct 31, 2022 | 311.50 Mn |
| Jul 31, 2022 | 291.30 Mn |
| Apr 30, 2022 | 297.30 Mn |
| Jan 31, 2022 | 268.80 Mn |
| Oct 31, 2021 | 257.20 Mn |
Cooper Companies Cost of 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=cost-of-revenue&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();