Cohu (COHU) Operating Expenses (2010 - 2026)
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Analysis
Cohu (COHU) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,897.27 Bn | 4,671.43 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,075.59 Bn | 1,700.45 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,543.52 Bn | 1,469.56 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 938.84 Bn | 844.47 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 765.98 Bn | 722.73 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 593.64 Bn | 549.33 Bn | 5.90 Bn | - |
| 7 | Intel | 306.44 Bn | 306.44 Bn | 7.10 Bn | 4.57 Bn |
| 8 | Applied Materials | 298.51 Bn | 263.95 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 284.63 Bn | 260.68 Bn | 4.30 Bn | 1.02 Bn |
| 10 | Cohu | 2.29 Bn | 2.29 Bn | - | 160.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 160.16 Mn |
| Jun 27, 2026 | 148.71 Mn |
| Mar 28, 2026 | 136.27 Mn |
| Dec 27, 2025 | 137.72 Mn |
| Sep 27, 2025 | 135.97 Mn |
| Jun 28, 2025 | 124.92 Mn |
| Mar 29, 2025 | 124.12 Mn |
| Dec 28, 2024 | 115.75 Mn |
| Sep 28, 2024 | 111.11 Mn |
| Jun 29, 2024 | 121.00 Mn |
| Mar 30, 2024 | 125.59 Mn |
| Dec 30, 2023 | 136.89 Mn |
| Sep 30, 2023 | 143.40 Mn |
| Jul 1, 2023 | 153.26 Mn |
| Apr 1, 2023 | 159.49 Mn |
| Dec 31, 2022 | 163.86 Mn |
| Sep 24, 2022 | 172.98 Mn |
| Jun 25, 2022 | 180.31 Mn |
| Mar 26, 2022 | 170.06 Mn |
| Dec 25, 2021 | 174.31 Mn |
API Access
Cohu 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=COHU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COHU", "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=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();