Ultra Clean Holdings (UCTT) Total Current Liabilities (2010 - 2026)
Ultra Clean Holdings' Total Current Liabilities was $424.7 million in Q2 2026, up 36.1% from $312 million a year earlier and up 18.8% from the prior quarter.
Ultra Clean Holdings (UCTT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Ultra Clean Holdings came in at $300.7 million, down 10.4% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $335.6 million in FY2024 (+8.3%), $310 million in FY2023 (-20.3%), $389.2 million in FY2022 (-17.0%) and $469.1 million in FY2021 (+133.2%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q4 2021.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 4.5%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 133.2%); the worst was Q3 2023 (a decline of 27.9%).
- Per Business Quant data, UCTT's Total Current Liabilities in the three quarters before Q2 2026 was $357.5 million (Q1 2026), $300.7 million (Q4 2025) and $293.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 424.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 424.70 Mn |
| Mar 27, 2026 | 357.50 Mn |
| Dec 26, 2025 | 300.70 Mn |
| Sep 26, 2025 | 293.40 Mn |
| Jun 27, 2025 | 312.00 Mn |
| Mar 28, 2025 | 313.20 Mn |
| Dec 27, 2024 | 335.60 Mn |
| Sep 27, 2024 | 358.80 Mn |
| Jun 28, 2024 | 351.40 Mn |
| Mar 29, 2024 | 329.40 Mn |
| Dec 29, 2023 | 310.00 Mn |
| Sep 29, 2023 | 293.60 Mn |
| Jun 30, 2023 | 294.30 Mn |
| Mar 31, 2023 | 313.70 Mn |
| Dec 30, 2022 | 389.20 Mn |
| Sep 30, 2022 | 407.40 Mn |
| Jul 1, 2022 | 395.40 Mn |
| Apr 1, 2022 | 417.60 Mn |
| Dec 31, 2021 | 469.10 Mn |
| Sep 24, 2021 | 411.00 Mn |
Ultra Clean Holdings Total Current Liabilities 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=total-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();