Cohu (COHU) Operating Expenses (2010 - 2026)
Cohu (COHU) posted Operating Expenses of $148.71 million for Q2 2026, up 19.0% from $124.92 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Cohu (COHU) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Cohu was $558.67 million, up 17.4% year-over-year; for FY2025, it was $522.73 million, up 10.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Cohu's Operating Expenses was $473.45 million in FY2024 (-20.2%), $593.05 million in FY2023 (-13.7%), $687.22 million in FY2022 (+0.2%) and $685.7 million in FY2021 (+8.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 38.4%; the weakest was Q3 2024, with a decline of 22.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $136.27 million (Q1 2026), $137.72 million (Q4 2025) and $135.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,433.19 Bn | 5,207.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,292.06 Bn | 1,911.32 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,687.74 Bn | 1,613.78 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,062.67 Bn | 968.30 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 953.55 Bn | 910.30 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 668.08 Bn | 623.77 Bn | 5.90 Bn | - |
| 7 | Intel | 511.50 Bn | 380.63 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Applied Materials | 380.80 Bn | 346.24 Bn | 4.59 Bn | 1.51 Bn |
| 9 | Lam Research | 378.25 Bn | 355.05 Bn | 3.48 Bn | 965.25 Mn |
| 10 | Cohu | 3.01 Bn | 1.34 Bn | 67.59 Mn | 148.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 191.35 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();