Cooper Companies (COO) Inventory (2009 - 2026)
Cooper Companies (COO) recorded Inventory of $911.5 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.5% from $881 million a year earlier and up 1.7% from the prior quarter.
Cooper Companies (COO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies reported Inventory of $846 million, up 5.4% from FY2024.
- Annual Inventory has increased for nine straight fiscal years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $802.7 million in FY2024 (+9.1%), $735.6 million in FY2023 (+17.0%), $628.7 million in FY2022 (+7.4%) and $585.6 million in FY2021 (+2.7%).
- The fiscal Q3 2026 figure is the highest quarterly Inventory in data going back to fiscal Q4 2009.
- On a year-over-year basis, Inventory has increased for 20 consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 1.8% (fiscal Q2 2026) and 17.0% (fiscal Q4 2023) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $896.4 million (Q2 2026), $876.4 million (Q1 2026) and $846 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Cooper Companies | 11.82 Bn | 11.29 Bn | 711.90 Mn | 911.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 911.50 Mn |
| Apr 30, 2026 | 896.40 Mn |
| Jan 31, 2026 | 876.40 Mn |
| Oct 31, 2025 | 846.00 Mn |
| Jul 31, 2025 | 881.00 Mn |
| Apr 30, 2025 | 880.30 Mn |
| Jan 31, 2025 | 842.90 Mn |
| Oct 31, 2024 | 802.70 Mn |
| Jul 31, 2024 | 779.30 Mn |
| Apr 30, 2024 | 775.40 Mn |
| Jan 31, 2024 | 747.50 Mn |
| Oct 31, 2023 | 735.60 Mn |
| Jul 31, 2023 | 723.60 Mn |
| Apr 30, 2023 | 699.00 Mn |
| Jan 31, 2023 | 659.10 Mn |
| Oct 31, 2022 | 628.70 Mn |
| Jul 31, 2022 | 621.60 Mn |
| Apr 30, 2022 | 603.80 Mn |
| Jan 31, 2022 | 588.10 Mn |
| Oct 31, 2021 | 585.60 Mn |
Cooper Companies Inventory 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=inventory&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();