Ultra Clean Holdings (UCTT) Non-Current Debt (2010 - 2026)
Ultra Clean Holdings (UCTT) posted Non-Current Debt of $599.4 million for Q2 2026, up 28.0% from $468.4 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Non-Current Debt came in at $467 million, down 2.0% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Non-Current Debt was $476.5 million in FY2024 (+3.3%), $461.2 million in FY2023 (-6.5%), $493 million in FY2022 (-7.0%) and $529.9 million in FY2021 (+102.6%).
- Quarterly Non-Current Debt has run from a low of $458.2 million in Q1 2024 to a high of $601.9 million in Q1 2026 over five years.
- On a year-over-year basis, Non-Current Debt increased in five of the last eight quarters, with growth averaging 7.3%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q1 2022, with growth of 104.3%; the weakest was Q1 2023, with a decline of 11.5%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $601.9 million (Q1 2026), $467 million (Q4 2025) and $466.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 32.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 1.56 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 57.17 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 5.14 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 2.35 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 3.15 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 48.55 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 3.73 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 5.25 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 599.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 599.40 Mn |
| Mar 27, 2026 | 601.90 Mn |
| Dec 26, 2025 | 467.00 Mn |
| Sep 26, 2025 | 466.50 Mn |
| Jun 27, 2025 | 468.40 Mn |
| Mar 28, 2025 | 470.90 Mn |
| Dec 27, 2024 | 476.50 Mn |
| Sep 27, 2024 | 475.80 Mn |
| Jun 28, 2024 | 478.30 Mn |
| Mar 29, 2024 | 458.20 Mn |
| Dec 29, 2023 | 461.20 Mn |
| Sep 29, 2023 | 464.10 Mn |
| Jun 30, 2023 | 467.10 Mn |
| Mar 31, 2023 | 470.00 Mn |
| Dec 30, 2022 | 493.00 Mn |
| Sep 30, 2022 | 509.20 Mn |
| Jul 1, 2022 | 524.00 Mn |
| Apr 1, 2022 | 530.90 Mn |
| Dec 31, 2021 | 529.90 Mn |
| Sep 24, 2021 | 545.10 Mn |
API Access
Ultra Clean Holdings Non-Current Debt 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=non-current-debt&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();