Ultra Clean Holdings (UCTT) Total Non-Current Liabilities (2010 - 2026)
Ultra Clean Holdings' Total Non-Current Liabilities came in at $1.19 billion for Q2 2026, up 25.9% from $948 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Total Non-Current Liabilities was $938.1 million, down 4.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $977.4 million in FY2024 (+4.7%), $933.2 million in FY2023 (-8.0%), $1.01 billion in FY2022 (+5.5%) and $962.1 million in FY2021 (+82.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 104.1%), and the weakest in Q1 2023 (a decline of 13.1%).
- Business Quant data shows UCTT's Total Non-Current Liabilities at $1.15 billion (Q1 2026), $938.1 million (Q4 2025) and $931.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.19 Bn |
| Mar 27, 2026 | 1.15 Bn |
| Dec 26, 2025 | 938.10 Mn |
| Sep 26, 2025 | 931.40 Mn |
| Jun 27, 2025 | 948.00 Mn |
| Mar 28, 2025 | 947.20 Mn |
| Dec 27, 2024 | 977.40 Mn |
| Sep 27, 2024 | 1.01 Bn |
| Jun 28, 2024 | 1.00 Bn |
| Mar 29, 2024 | 959.90 Mn |
| Dec 29, 2023 | 933.20 Mn |
| Sep 29, 2023 | 941.20 Mn |
| Jun 30, 2023 | 928.30 Mn |
| Mar 31, 2023 | 931.60 Mn |
| Dec 30, 2022 | 1.01 Bn |
| Sep 30, 2022 | 1.04 Bn |
| Jul 1, 2022 | 1.04 Bn |
| Apr 1, 2022 | 1.07 Bn |
| Dec 31, 2021 | 962.10 Mn |
| Sep 24, 2021 | 1.07 Bn |
API Access
Ultra Clean Holdings Total Non-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-non-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();