Ultra Clean Holdings (UCTT) Cash & Equivalents (2009 - 2026)
Ultra Clean Holdings (UCTT) reported Cash & Equivalents of $270.9 million for Q3 2026, down 13.8% from $314.1 million a year earlier but up 5.9% from the prior quarter.
Ultra Clean Holdings (UCTT) Cash & Equivalents (2009 - 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%).
- Five-year quarterly Cash & Equivalents spans a low of $255.9 million in Q2 2026 and a high of $466.5 million in Q4 2021.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with an average decline of 2.8%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 132.9%); the low point was Q3 2023 (a decline of 24.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $255.9 million (Q2 2026), $323.5 million (Q1 2026) and $311.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 17.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 113.72 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 22.44 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 23.98 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 38.36 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.40 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 15.17 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 21.85 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 7.24 Bn |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 270.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 270.90 Mn |
| 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 |
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_KEY
import 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();