Ultra Clean Holdings (UCTT) Cash & Equivalents (2010 - 2026)
Ultra Clean Holdings (UCTT) reported Cash & Equivalents of $255.9 million for Q2 2026, down 21.8% from $327.4 million a year earlier and down 20.9% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings posted Cash & Equivalents of $311.8 million, down 0.7% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $313.9 million in FY2024 (+2.2%), $307 million in FY2023 (-14.4%), $358.8 million in FY2022 (-23.1%) and $466.5 million in FY2021 (+132.9%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2020.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with an average decline of 2.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2021 (growth of 159.5%); the low point was Q3 2023 (a decline of 24.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $323.5 million (Q1 2026), $311.8 million (Q4 2025) and $314.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn | 255.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 255.90 Mn |
| Mar 27, 2026 | 323.50 Mn |
| Dec 26, 2025 | 311.80 Mn |
| Sep 26, 2025 | 314.10 Mn |
| Jun 27, 2025 | 327.40 Mn |
| Mar 28, 2025 | 317.60 Mn |
| Dec 27, 2024 | 313.90 Mn |
| Sep 27, 2024 | 318.20 Mn |
| Jun 28, 2024 | 319.50 Mn |
| Mar 29, 2024 | 293.00 Mn |
| Dec 29, 2023 | 307.00 Mn |
| Sep 29, 2023 | 342.00 Mn |
| Jun 30, 2023 | 320.80 Mn |
| Mar 31, 2023 | 322.10 Mn |
| Dec 30, 2022 | 358.80 Mn |
| Sep 30, 2022 | 453.50 Mn |
| Jul 1, 2022 | 421.40 Mn |
| Apr 1, 2022 | 367.00 Mn |
| Dec 31, 2021 | 466.50 Mn |
| Sep 24, 2021 | 457.00 Mn |
API Access
Ultra Clean Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();