Cohu (COHU) Other Operating Expenses (2010 - 2026)
Cohu (COHU) posted Other Operating Expenses of $88.69 million for Q2 2026, up 25.5% from $70.65 million a year earlier and up 19.0% from the prior quarter.
Cohu (COHU) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Other Operating Expenses at Cohu was $325.02 million, up 25.1% year-over-year; for FY2025, it came in at $283.6 million, up 14.7% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In prior years, Cohu's Other Operating Expenses was $247.17 million in FY2024 (-30.6%), $356.41 million in FY2023 (-20.8%), $449.83 million in FY2022 (-0.4%) and $451.75 million in FY2021 (+14.2%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q3 2023.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last five quarters, with growth averaging 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 69.7%; the weakest was Q1 2024, with a decline of 33.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $74.51 million (Q1 2026), $80.59 million (Q4 2025) and $81.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,444.44 Bn | 5,218.60 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,287.55 Bn | 1,906.81 Bn | 27.22 Bn |
| 3 | Broadcom | 1,688.50 Bn | 1,614.54 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,061.98 Bn | 967.61 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 960.58 Bn | 917.33 Bn | 6.20 Bn |
| 6 | Asml Holding | 666.68 Bn | 622.37 Bn | 5.90 Bn |
| 7 | Intel | 511.98 Bn | 381.12 Bn | 6.51 Bn |
| 8 | Applied Materials | 378.43 Bn | 343.87 Bn | 4.59 Bn |
| 9 | Lam Research | 377.92 Bn | 354.72 Bn | 3.48 Bn |
| 10 | Cohu | 3.01 Bn | 1.34 Bn | 67.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 88.69 Mn |
| Mar 28, 2026 | 74.51 Mn |
| Dec 27, 2025 | 80.59 Mn |
| Sep 27, 2025 | 81.23 Mn |
| Jun 28, 2025 | 70.65 Mn |
| Mar 29, 2025 | 64.33 Mn |
| Dec 28, 2024 | 64.41 Mn |
| Sep 28, 2024 | 60.48 Mn |
| Jun 29, 2024 | 67.53 Mn |
| Mar 30, 2024 | 68.16 Mn |
| Dec 30, 2023 | 81.55 Mn |
| Sep 30, 2023 | 88.77 Mn |
| Jul 1, 2023 | 97.58 Mn |
| Apr 1, 2023 | 101.91 Mn |
| Dec 31, 2022 | 106.06 Mn |
| Sep 24, 2022 | 116.83 Mn |
| Jun 25, 2022 | 124.61 Mn |
| Mar 26, 2022 | 115.14 Mn |
| Dec 25, 2021 | 120.75 Mn |
| Sep 25, 2021 | 138.15 Mn |
Cohu Other 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=other-operating-expenses&ticker=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();