Ultra Clean Holdings (UCTT) Shares Outstanding (Diluted) (2009 - 2026)
Ultra Clean Holdings' Weighted Average Shares Outstanding (Diluted) came in at 46.1 million for Q3 2026, up 1.5% from 45.4 million a year earlier and unchanged from the prior quarter.
Ultra Clean Holdings (UCTT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Ultra Clean Holdings' Weighted Average Shares Outstanding (Diluted) was 45.3 million, unchanged from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 45.3 million in FY2024 (+1.3%), 44.7 million in FY2023 (-2.2%), 45.7 million in FY2022 (+2.9%) and 44.4 million in FY2021 (+8.0%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 9.6%), and the weakest in Q4 2023 (a decline of 2.2%).
- Business Quant data shows UCTT's Weighted Average Shares Outstanding (Diluted) at 46.1 million (Q2 2026), 45.3 million (Q1 2026) and 45.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 188.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.14 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.66 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.90 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.31 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 800.00 Mn |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 46.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 46.20 Mn |
| Jun 26, 2026 | 46.10 Mn |
| Mar 27, 2026 | 45.30 Mn |
| Dec 26, 2025 | 45.30 Mn |
| Sep 26, 2025 | 45.40 Mn |
| Jun 27, 2025 | 45.20 Mn |
| Mar 28, 2025 | 45.10 Mn |
| Dec 27, 2024 | 45.30 Mn |
| Sep 27, 2024 | 45.00 Mn |
| Jun 28, 2024 | 45.40 Mn |
| Mar 29, 2024 | 44.60 Mn |
| Dec 29, 2023 | 44.70 Mn |
| Sep 29, 2023 | 44.80 Mn |
| Jun 30, 2023 | 44.70 Mn |
| Mar 31, 2023 | 44.80 Mn |
| Dec 30, 2022 | 45.70 Mn |
| Sep 30, 2022 | 45.60 Mn |
| Jul 1, 2022 | 45.20 Mn |
| Apr 1, 2022 | 45.60 Mn |
| Dec 31, 2021 | 44.40 Mn |
Ultra Clean Holdings Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();