Ultra Clean Holdings (UCTT) Retained Earnings (2010 - 2026)
Ultra Clean Holdings (UCTT) recorded Retained Earnings of $180 million in Q2 2026, down 11.5% from $203.4 million a year earlier but up 5.1% from the prior quarter.
Ultra Clean Holdings (UCTT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings reported Retained Earnings of $189.2 million, down 48.9% from FY2024.
- Annual Retained Earnings has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $370.4 million in FY2024 (+6.8%), $346.7 million in FY2023 (-8.2%), $377.8 million in FY2022 (+12.0%) and $337.4 million in FY2021 (+54.8%).
- Quarterly Retained Earnings has ranged from $171.3 million in Q1 2026 to $377.8 million in Q4 2022 over the past five years.
- On a year-over-year basis, Retained Earnings has declined for five consecutive quarters, with an average decline of 23.2% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 54.8% in Q4 2021, against a decline of 53.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $171.3 million (Q1 2026), $189.2 million (Q4 2025) and $192.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 94.68 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 20.47 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 180.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 180.00 Mn |
| Mar 27, 2026 | 171.30 Mn |
| Dec 26, 2025 | 189.20 Mn |
| Sep 26, 2025 | 192.50 Mn |
| Jun 27, 2025 | 203.40 Mn |
| Mar 28, 2025 | 365.40 Mn |
| Dec 27, 2024 | 370.40 Mn |
| Sep 27, 2024 | 354.10 Mn |
| Jun 28, 2024 | 356.40 Mn |
| Mar 29, 2024 | 337.30 Mn |
| Dec 29, 2023 | 346.70 Mn |
| Sep 29, 2023 | 350.50 Mn |
| Jun 30, 2023 | 365.00 Mn |
| Mar 31, 2023 | 374.40 Mn |
| Dec 30, 2022 | 377.80 Mn |
| Sep 30, 2022 | 349.90 Mn |
| Jul 1, 2022 | 340.20 Mn |
| Apr 1, 2022 | 365.30 Mn |
| Dec 31, 2021 | 337.40 Mn |
| Sep 24, 2021 | 291.90 Mn |
Ultra Clean Holdings Retained Earnings 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=retained-earnings&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();