Ultra Clean Holdings (UCTT) Operating Expenses (2010 - 2026)
Ultra Clean Holdings' Operating Expenses came in at $74.2 million for Q2 2026, down 66.5% from $221.3 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Ultra Clean Holdings reported Operating Expenses of $285.2 million, down 33.1% year-over-year; for FY2025, it came in at $430.3 million, up 62.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $265.1 million in FY2024 (+9.5%), $242.1 million in FY2023 (-29.7%), $344.6 million in FY2022 (+41.1%) and $244.3 million in FY2021 (+43.4%).
- The five-year range for quarterly Operating Expenses is $55.5 million (Q2 2023) to $221.3 million (Q2 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 25.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 237.3%), and the weakest in Q2 2026 (a decline of 66.5%).
- Business Quant data shows UCTT's Operating Expenses at $73 million (Q1 2026), $66.4 million (Q4 2025) and $71.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 74.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 74.20 Mn |
| Mar 27, 2026 | 73.00 Mn |
| Dec 26, 2025 | 66.40 Mn |
| Sep 26, 2025 | 71.60 Mn |
| Jun 27, 2025 | 221.30 Mn |
| Mar 28, 2025 | 71.10 Mn |
| Dec 27, 2024 | 65.90 Mn |
| Sep 27, 2024 | 68.20 Mn |
| Jun 28, 2024 | 65.60 Mn |
| Mar 29, 2024 | 65.30 Mn |
| Dec 29, 2023 | 66.50 Mn |
| Sep 29, 2023 | 59.50 Mn |
| Jun 30, 2023 | 55.50 Mn |
| Mar 31, 2023 | 60.60 Mn |
| Dec 30, 2022 | 64.60 Mn |
| Sep 30, 2022 | 88.10 Mn |
| Jul 1, 2022 | 123.90 Mn |
| Apr 1, 2022 | 68.00 Mn |
| Dec 31, 2021 | 66.30 Mn |
| Sep 24, 2021 | 63.50 Mn |
API Access
Ultra Clean Holdings 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=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UCTT", "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=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();