Cooper Companies (COO) Operating Expenses (2009 - 2026)
Cooper Companies (COO) recorded Operating Expenses of $442.9 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.0% from $466.3 million a year earlier and down 38.4% from the prior quarter.
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Analysis
Cooper Companies (COO) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cooper Companies' Operating Expenses came in at $2.06 billion as of Jul 31, 2026, up 16.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.8 billion, up 6.6% from FY2024.
- Annual Operating Expenses has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $1.69 billion in FY2024 (+3.1%), $1.64 billion in FY2023 (+12.8%), $1.45 billion in FY2022 (+11.4%) and $1.3 billion in FY2021 (+20.1%).
- Quarterly Operating Expenses has ranged from $337.3 million in fiscal Q4 2021 to $718.7 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 10.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 61.7% in fiscal Q2 2026, against a decline of 5.0% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $718.7 million (Q2 2026), $434.5 million (Q1 2026) and $460.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 442.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 442.90 Mn |
| Apr 30, 2026 | 718.70 Mn |
| Jan 31, 2026 | 434.50 Mn |
| Oct 31, 2025 | 460.60 Mn |
| Jul 31, 2025 | 466.30 Mn |
| Apr 30, 2025 | 444.50 Mn |
| Jan 31, 2025 | 428.60 Mn |
| Oct 31, 2024 | 429.10 Mn |
| Jul 31, 2024 | 420.10 Mn |
| Apr 30, 2024 | 419.20 Mn |
| Jan 31, 2024 | 420.40 Mn |
| Oct 31, 2023 | 424.30 Mn |
| Jul 31, 2023 | 411.70 Mn |
| Apr 30, 2023 | 440.10 Mn |
| Jan 31, 2023 | 362.50 Mn |
| Oct 31, 2022 | 387.10 Mn |
| Jul 31, 2022 | 371.40 Mn |
| Apr 30, 2022 | 348.70 Mn |
| Jan 31, 2022 | 345.30 Mn |
| Oct 31, 2021 | 337.30 Mn |
API Access
Cooper Companies Operating Expenses 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=operating-expenses&ticker=COO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();