Cooper Companies (COO) Acquisitions (2018 - 2026)
Cooper Companies (COO) recorded Acquisitions of $1.1 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 8.3% from $1.2 million a year earlier and down 69.4% from the prior quarter.
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Analysis
Cooper Companies (COO) Acquisitions (2018 - 2026) Analysis & Trends
On a TTM basis, Cooper Companies' Acquisitions came in at $6.2 million as of Jul 31, 2026, down 94.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $10.5 million, down 96.9% from FY2024.
- Annual Acquisitions has a five-year compound annual growth rate of -28.0% (FY2020 to FY2025).
- Across earlier fiscal years, Acquisitions came in at $343.4 million in FY2024 (+507.8%), $56.5 million in FY2023 (-96.6%), $1.64 billion in FY2022 (+595.8%) and $235.9 million in FY2021 (+336.0%).
- Quarterly Acquisitions has ranged from -$600,000 in fiscal Q3 2022 to $1.61 billion in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Acquisitions rose in three of the last eight quarters, with growth averaging 54.5%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 579.9% in fiscal Q1 2024, against a decline of 99.2% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.6 million (Q2 2026), $700,000 (Q1 2026) and $800,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 121.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 38.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | -9.60 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.16 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 22.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 212.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 4.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 15.00 Mn |
| 10 | Cooper Companies | 11.91 Bn | 11.38 Bn | 711.90 Mn | 1.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.10 Mn |
| Apr 30, 2026 | 3.60 Mn |
| Jan 31, 2026 | 700,000.00 |
| Oct 31, 2025 | 800,000.00 |
| Jul 31, 2025 | 1.20 Mn |
| Apr 30, 2025 | 1.10 Mn |
| Jan 31, 2025 | 7.40 Mn |
| Oct 31, 2024 | 101.60 Mn |
| Jul 31, 2024 | 35.10 Mn |
| Apr 30, 2024 | 700,000.00 |
| Jan 31, 2024 | 206.00 Mn |
| Oct 31, 2023 | 15.80 Mn |
| Jul 31, 2023 | 2.00 Mn |
| Apr 30, 2023 | 8.40 Mn |
| Jan 31, 2023 | 30.30 Mn |
| Oct 31, 2022 | 4.80 Mn |
| Jul 31, 2022 | -600,000.00 |
| Apr 30, 2022 | 24.90 Mn |
| Jan 31, 2022 | 1.61 Bn |
| Oct 31, 2021 | 1.00 Mn |
API Access
Cooper Companies Acquisitions 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=acquisitions&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();