Cooper Companies (COO) Prepaid Assets (2009 - 2026)
Cooper Companies (COO) posted Prepaid Assets of $426.4 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 25.6% from $339.6 million a year earlier but down 6.4% from the prior quarter.
Cooper Companies (COO) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies' Prepaid Assets came in at $320.8 million, down 1.0% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In prior fiscal years, Cooper Companies' Prepaid Assets was $324.2 million in FY2024 (+35.8%), $238.8 million in FY2023 (+14.3%), $208.9 million in FY2022 (+16.5%) and $179.3 million in FY2021 (+17.6%).
- Quarterly Prepaid Assets has run from a low of $179.3 million in fiscal Q4 2021 to a high of $455.4 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Prepaid Assets increased in six of the last eight quarters, with growth averaging 19.1%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q2 2022, with growth of 40.5%; the weakest was fiscal Q4 2025, with a decline of 1.0%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $455.4 million (Q2 2026), $325.4 million (Q1 2026) and $320.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 426.40 Mn |
| Apr 30, 2026 | 455.40 Mn |
| Jan 31, 2026 | 325.40 Mn |
| Oct 31, 2025 | 320.80 Mn |
| Jul 31, 2025 | 339.60 Mn |
| Apr 30, 2025 | 348.30 Mn |
| Jan 31, 2025 | 326.80 Mn |
| Oct 31, 2024 | 324.20 Mn |
| Jul 31, 2024 | 298.70 Mn |
| Apr 30, 2024 | 282.50 Mn |
| Jan 31, 2024 | 260.20 Mn |
| Oct 31, 2023 | 238.80 Mn |
| Jul 31, 2023 | 240.20 Mn |
| Apr 30, 2023 | 223.70 Mn |
| Jan 31, 2023 | 218.40 Mn |
| Oct 31, 2022 | 208.90 Mn |
| Jul 31, 2022 | 186.20 Mn |
| Apr 30, 2022 | 203.20 Mn |
| Jan 31, 2022 | 196.60 Mn |
| Oct 31, 2021 | 179.30 Mn |
Cooper Companies Prepaid Assets 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=prepaid-assets&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();