Ultra Clean Holdings (UCTT) Total Liabilities (2009 - 2026)
Ultra Clean Holdings (UCTT) reported Total Liabilities of $1.29 billion for Q3 2026, up 37.5% from $939.2 million a year earlier and up 7.5% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings posted Total Liabilities of $944.9 million, down 4.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $984.1 million in FY2024 (+1.4%), $970.5 million in FY2023 (-5.2%), $1.02 billion in FY2022 (+5.0%) and $975 million in FY2021 (+76.9%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 7.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 76.9%); the low point was Q1 2023 (a decline of 13.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.2 billion (Q2 2026), $1.15 billion (Q1 2026) and $944.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 1.29 Bn |
| Jun 26, 2026 | 1.20 Bn |
| Mar 27, 2026 | 1.15 Bn |
| Dec 26, 2025 | 944.90 Mn |
| Sep 26, 2025 | 939.20 Mn |
| Jun 27, 2025 | 955.80 Mn |
| Mar 28, 2025 | 954.20 Mn |
| Dec 27, 2024 | 984.10 Mn |
| Sep 27, 2024 | 1.03 Bn |
| Jun 28, 2024 | 1.02 Bn |
| Mar 29, 2024 | 998.50 Mn |
| Dec 29, 2023 | 970.50 Mn |
| Sep 29, 2023 | 950.40 Mn |
| Jun 30, 2023 | 937.50 Mn |
| Mar 31, 2023 | 940.90 Mn |
| Dec 30, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jul 1, 2022 | 1.05 Bn |
| Apr 1, 2022 | 1.09 Bn |
| Dec 31, 2021 | 975.00 Mn |
API Access
Ultra Clean Holdings Total 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-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();