Cooper Companies (COO) Cash & Equivalents (2009 - 2026)
Cooper Companies' Cash & Equivalents came in at $154.7 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 23.9% from $124.9 million a year earlier and up 11.5% from the prior quarter.
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Analysis
Cooper Companies (COO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Cooper Companies' Cash & Equivalents was $110.6 million, up 2.8% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $107.6 million in FY2024 (-10.9%), $120.8 million in FY2023 (-12.6%), $138.2 million in FY2022 (+44.1%) and $95.9 million in FY2021 (-17.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2022.
- Year-over-year, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2022 (growth of 277.0%), and the weakest in fiscal Q2 2023 (a decline of 72.0%).
- Business Quant data shows COO's Cash & Equivalents at $138.8 million (Q2 2026), $124.9 million (Q1 2026) and $110.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 154.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 154.70 Mn |
| Apr 30, 2026 | 138.80 Mn |
| Jan 31, 2026 | 124.90 Mn |
| Oct 31, 2025 | 110.60 Mn |
| Jul 31, 2025 | 124.90 Mn |
| Apr 30, 2025 | 116.20 Mn |
| Jan 31, 2025 | 100.90 Mn |
| Oct 31, 2024 | 107.60 Mn |
| Jul 31, 2024 | 109.70 Mn |
| Apr 30, 2024 | 112.40 Mn |
| Jan 31, 2024 | 135.20 Mn |
| Oct 31, 2023 | 120.80 Mn |
| Jul 31, 2023 | 117.30 Mn |
| Apr 30, 2023 | 111.90 Mn |
| Jan 31, 2023 | 118.20 Mn |
| Oct 31, 2022 | 138.20 Mn |
| Jul 31, 2022 | 246.30 Mn |
| Apr 30, 2022 | 399.20 Mn |
| Jan 31, 2022 | 280.70 Mn |
| Oct 31, 2021 | 95.90 Mn |
API Access
Cooper Companies Cash & Equivalents 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=cash-and-equivalents&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();