Cooper Companies (COO) Amortization - Intangibles (2009 - 2026)
Cooper Companies (COO) recorded Amortization - Intangibles of $47 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 6.0% from $50 million a year earlier and down 1.5% from the prior quarter.
Cooper Companies (COO) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Cooper Companies' Amortization - Intangibles came in at $192.4 million as of Jul 31, 2026, down 3.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $199.2 million, down 1.0% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier fiscal years, Amortization - Intangibles came in at $201.2 million in FY2024 (+8.1%), $186.2 million in FY2023 (+3.7%), $179.5 million in FY2022 (+22.9%) and $146.1 million in FY2021 (+6.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Amortization - Intangibles since fiscal Q4 2023.
- On a year-over-year basis, Amortization - Intangibles has declined for seven consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 37.7% in fiscal Q2 2022, against a decline of 9.0% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $47.7 million (Q2 2026), $47.9 million (Q1 2026) and $49.8 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 | 47.00 Mn |
| Apr 30, 2026 | 47.70 Mn |
| Jan 31, 2026 | 47.90 Mn |
| Oct 31, 2025 | 49.80 Mn |
| Jul 31, 2025 | 50.00 Mn |
| Apr 30, 2025 | 49.80 Mn |
| Jan 31, 2025 | 49.60 Mn |
| Oct 31, 2024 | 50.20 Mn |
| Jul 31, 2024 | 50.40 Mn |
| Apr 30, 2024 | 50.30 Mn |
| Jan 31, 2024 | 50.30 Mn |
| Oct 31, 2023 | 46.50 Mn |
| Jul 31, 2023 | 46.70 Mn |
| Apr 30, 2023 | 46.50 Mn |
| Jan 31, 2023 | 46.50 Mn |
| Oct 31, 2022 | 46.00 Mn |
| Jul 31, 2022 | 40.10 Mn |
| Apr 30, 2022 | 51.10 Mn |
| Jan 31, 2022 | 42.30 Mn |
| Oct 31, 2021 | 36.10 Mn |
Cooper Companies Amortization - Intangibles 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=amortization-intangibles&ticker=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();