Ultra Clean Holdings (UCTT) Total Debt (2010 - 2026)
Ultra Clean Holdings' Total Debt was $599.4 million in Q2 2026, up 25.3% from $478.4 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Ultra Clean Holdings came in at $476.9 million, down 3.2% from FY2024.
- Total Debt shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier years, Total Debt was $492.5 million in FY2024 (+2.9%), $478.8 million in FY2023 (-6.8%), $513.8 million in FY2022 (-6.9%) and $552 million in FY2021 (+105.2%).
- Quarterly Total Debt has moved between $475.2 million (Q1 2024) and $601.9 million (Q1 2026) over five years.
- Compared with a year earlier, Total Debt was higher in five of the last eight quarters, with growth averaging 5.9%.
- The best year-over-year quarter for Total Debt over five years was Q1 2022 (growth of 105.5%); the worst was Q2 2023 (a decline of 11.2%).
- Per Business Quant data, UCTT's Total Debt in the three quarters before Q2 2026 was $601.9 million (Q1 2026), $476.9 million (Q4 2025) and $476.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 6.85 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 5.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.23 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.11 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 50.54 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.73 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.54 Bn |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 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 | 476.90 Mn |
| Sep 26, 2025 | 476.40 Mn |
| Jun 27, 2025 | 478.40 Mn |
| Mar 28, 2025 | 480.90 Mn |
| Dec 27, 2024 | 492.50 Mn |
| Sep 27, 2024 | 492.20 Mn |
| Jun 28, 2024 | 494.60 Mn |
| Mar 29, 2024 | 475.20 Mn |
| Dec 29, 2023 | 478.80 Mn |
| Sep 29, 2023 | 481.70 Mn |
| Jun 30, 2023 | 484.90 Mn |
| Mar 31, 2023 | 492.70 Mn |
| Dec 30, 2022 | 513.80 Mn |
| Sep 30, 2022 | 529.30 Mn |
| Jul 1, 2022 | 546.30 Mn |
| Apr 1, 2022 | 550.40 Mn |
| Dec 31, 2021 | 552.00 Mn |
| Sep 24, 2021 | 568.30 Mn |
API Access
Ultra Clean Holdings Total 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=total-debt&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();