Ultra Clean Holdings (UCTT) Change in Accrued Expenses (2009 - 2026)
Ultra Clean Holdings' Change in Accrued Expenses was $900,000 in Q3 2026, down 55.0% from $2 million a year earlier and down 94.1% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ultra Clean Holdings' Change in Accrued Expenses was $13.8 million through Sep 25, 2026, up 762.5% year-over-year; for FY2025, it came in at $1 million, down 58.3% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -36.5% (FY2020 to FY2025).
- In earlier years, Change in Accrued 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%).
- Quarterly Change in Accrued Expenses has moved between -$14.7 million (Q1 2023) and $15.3 million (Q2 2026) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in 1 of the last five quarters, with an average decline of 17.2%.
- The best year-over-year quarter for Change in Accrued 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 Accrued Expenses in the three quarters before Q3 2026 was $15.3 million (Q2 2026), -$4 million (Q1 2026) and $1.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 1.06 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 252.00 Mn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -619.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.38 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 323.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 165.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 900,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 900,000.00 |
| 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 |
API Access
Ultra Clean Holdings Change in Accrued 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();