Ultra Clean Holdings (UCTT) Operating Leases (2019 - 2026)
Ultra Clean Holdings' Operating Leases was $155 million in Q2 2026, up 2.4% from $151.4 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Ultra Clean Holdings came in at $156.6 million, up 5.0% from FY2024.
- Operating Leases has now increased for six consecutive years, with a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- In earlier years, Operating Leases was $149.2 million in FY2024 (+4.3%), $143 million in FY2023 (+78.1%), $80.3 million in FY2022 (+21.9%) and $65.9 million in FY2021 (+111.9%).
- Quarterly Operating Leases has moved between $62.1 million (Q2 2022) and $158 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for three straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q3 2021 (growth of 122.8%); the worst was Q1 2025 (a decline of 4.2%).
- Per Business Quant data, UCTT's Operating Leases in the three quarters before Q2 2026 was $158 million (Q1 2026), $156.6 million (Q4 2025) and $155.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 155.00 Mn |
| Mar 27, 2026 | 158.00 Mn |
| Dec 26, 2025 | 156.60 Mn |
| Sep 26, 2025 | 155.10 Mn |
| Jun 27, 2025 | 151.40 Mn |
| Mar 28, 2025 | 146.90 Mn |
| Dec 27, 2024 | 149.20 Mn |
| Sep 27, 2024 | 155.60 Mn |
| Jun 28, 2024 | 152.40 Mn |
| Mar 29, 2024 | 153.40 Mn |
| Dec 29, 2023 | 143.00 Mn |
| Sep 29, 2023 | 131.00 Mn |
| Jun 30, 2023 | 114.50 Mn |
| Mar 31, 2023 | 95.60 Mn |
| Dec 30, 2022 | 80.30 Mn |
| Sep 30, 2022 | 69.00 Mn |
| Jul 1, 2022 | 62.10 Mn |
| Apr 1, 2022 | 68.80 Mn |
| Dec 31, 2021 | 65.90 Mn |
| Sep 24, 2021 | 69.50 Mn |
API Access
Ultra Clean Holdings Operating Leases 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=operating-leases&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();