Ultra Clean Holdings (UCTT) Long-Term Debt Repayments (2009 - 2026)
Ultra Clean Holdings' Long-Term Debt Repayments was $19.5 million in Q2 2026, up 529.0% from $3.1 million a year earlier but down 95.8% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ultra Clean Holdings' Long-Term Debt Repayments was $484.6 million through Jun 26, 2026; for FY2025, it was $18.2 million, up 78.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -29.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $10.2 million in FY2024 (-73.6%), $38.6 million in FY2023 (-2.8%), $39.7 million in FY2022 (-69.9%) and $131.8 million in FY2021 (+24.9%).
- Quarterly Long-Term Debt Repayments has moved between $100,000 (Q4 2024) and $462 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last six quarters, with growth averaging 100.0%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2023 (growth of 746.2%); the worst was Q4 2024 (a decline of 97.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -3.20 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -8.18 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -10.53 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 663.00 Mn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 119.00 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 19.50 Mn |
| Mar 27, 2026 | 462.00 Mn |
| Sep 26, 2025 | 3.10 Mn |
| Jun 27, 2025 | 3.10 Mn |
| Mar 28, 2025 | 12.00 Mn |
| Dec 27, 2024 | 100,000.00 |
| Sep 27, 2024 | 3.00 Mn |
| Jun 28, 2024 | 2.60 Mn |
| Mar 29, 2024 | 4.50 Mn |
| Dec 29, 2023 | 3.90 Mn |
| Sep 29, 2023 | 3.80 Mn |
| Jun 30, 2023 | 8.90 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 30, 2022 | 11.90 Mn |
| Sep 30, 2022 | 17.30 Mn |
| Jul 1, 2022 | 7.90 Mn |
| Apr 1, 2022 | 2.60 Mn |
| Dec 31, 2021 | 37.90 Mn |
| Sep 24, 2021 | 50.50 Mn |
| Jun 25, 2021 | 35.20 Mn |
API Access
Ultra Clean Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();