Ultra Clean Holdings (UCTT) Change in Accured Expenses (2010 - 2026)
Ultra Clean Holdings' Change in Accured Expenses was $15.3 million in Q2 2026, up 96.2% from $7.8 million a year earlier.
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Analysis
Ultra Clean Holdings (UCTT) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ultra Clean Holdings' Change in Accured Expenses was $14.9 million through Jun 26, 2026; for FY2025, it came in at $1 million, down 58.3% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -36.5% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $2.4 million in FY2024, -$5.6 million in FY2023, $7.1 million in FY2022 (+294.4%) and $1.8 million in FY2021 (-81.4%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q3 2010.
- Compared with a year earlier, Change in Accured Expenses was higher in 1 of the last four quarters, with an average decline of 7.8%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2024 (growth of 450.0%); the worst was Q2 2023 (a decline of 79.2%).
- Per Business Quant data, UCTT's Change in Accured Expenses in the three quarters before Q2 2026 was -$4 million (Q1 2026), $1.6 million (Q4 2025) and $2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn | 15.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 15.30 Mn |
| Mar 27, 2026 | -4.00 Mn |
| Dec 26, 2025 | 1.60 Mn |
| Sep 26, 2025 | 2.00 Mn |
| Jun 27, 2025 | 7.80 Mn |
| Mar 28, 2025 | -10.40 Mn |
| Dec 27, 2024 | 2.20 Mn |
| Sep 27, 2024 | -1.30 Mn |
| Jun 28, 2024 | 12.10 Mn |
| Mar 29, 2024 | -10.60 Mn |
| Dec 29, 2023 | 6.20 Mn |
| Sep 29, 2023 | 700,000.00 |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | -14.70 Mn |
| Dec 30, 2022 | 5.00 Mn |
| Sep 30, 2022 | -2.50 Mn |
| Jul 1, 2022 | 10.60 Mn |
| Apr 1, 2022 | -6.00 Mn |
| Dec 31, 2021 | 8.80 Mn |
| Sep 24, 2021 | -5.90 Mn |
API Access
Ultra Clean Holdings Change in Accured 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=change-in-accured-expenses&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();