Ultra Clean Holdings (UCTT) Other Accumulated Expenses (2010 - 2026)
Ultra Clean Holdings (UCTT) reported Other Accumulated Expenses of $40.2 million for Q2 2026, up 19.6% from $33.6 million a year earlier and up 52.3% from the prior quarter.
Ultra Clean Holdings (UCTT) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings posted Other Accumulated Expenses of $24.6 million, down 35.9% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $38.4 million in FY2024 (+13.9%), $33.7 million in FY2023 (-25.6%), $45.3 million in FY2022 (-9.4%) and $50 million in FY2021 (+90.1%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses since Q3 2024.
- Year over year, Other Accumulated Expenses gained in three of the last eight quarters, with an average decline of 7.6%.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2021 (growth of 90.1%); the low point was Q3 2025 (a decline of 43.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $26.4 million (Q1 2026), $24.6 million (Q4 2025) and $24.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 40.20 Mn |
| Mar 27, 2026 | 26.40 Mn |
| Dec 26, 2025 | 24.60 Mn |
| Sep 26, 2025 | 24.10 Mn |
| Jun 27, 2025 | 33.60 Mn |
| Mar 28, 2025 | 37.50 Mn |
| Dec 27, 2024 | 38.40 Mn |
| Sep 27, 2024 | 42.30 Mn |
| Jun 28, 2024 | 38.20 Mn |
| Mar 29, 2024 | 41.30 Mn |
| Dec 29, 2023 | 33.70 Mn |
| Sep 29, 2023 | 31.20 Mn |
| Jun 30, 2023 | 35.40 Mn |
| Mar 31, 2023 | 39.80 Mn |
| Dec 30, 2022 | 45.30 Mn |
| Sep 30, 2022 | 52.40 Mn |
| Jul 1, 2022 | 47.60 Mn |
| Apr 1, 2022 | 51.90 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 24, 2021 | 46.30 Mn |
Ultra Clean Holdings Other Accumulated 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-accumulated-expenses&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();