Ultra Clean Holdings (UCTT) Selling, General & Administrative (2010 - 2026)
Ultra Clean Holdings (UCTT) recorded Selling, General & Administrative of $49 million in Q2 2026, up 4.5% from $46.9 million a year earlier and unchanged from the prior quarter.
Ultra Clean Holdings (UCTT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Ultra Clean Holdings' Selling, General & Administrative came in at $188.6 million as of Jun 26, 2026, up 1.1% year-over-year; for FY2025, it was $186 million, up 3.6% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $179.5 million in FY2024 (+10.8%), $162 million in FY2023 (-12.1%), $184.3 million in FY2022 (+7.4%) and $171.6 million in FY2021 (+31.5%).
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 4.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 43.0% in Q3 2021, against a decline of 22.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $49 million (Q1 2026), $41.9 million (Q4 2025) and $48.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn | 49.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 49.00 Mn |
| Mar 27, 2026 | 49.00 Mn |
| Dec 26, 2025 | 41.90 Mn |
| Sep 26, 2025 | 48.70 Mn |
| Jun 27, 2025 | 46.90 Mn |
| Mar 28, 2025 | 48.60 Mn |
| Dec 27, 2024 | 44.40 Mn |
| Sep 27, 2024 | 46.70 Mn |
| Jun 28, 2024 | 43.70 Mn |
| Mar 29, 2024 | 44.60 Mn |
| Dec 29, 2023 | 46.70 Mn |
| Sep 29, 2023 | 39.30 Mn |
| Jun 30, 2023 | 35.60 Mn |
| Mar 31, 2023 | 40.40 Mn |
| Dec 30, 2022 | 44.40 Mn |
| Sep 30, 2022 | 46.40 Mn |
| Jul 1, 2022 | 46.20 Mn |
| Apr 1, 2022 | 47.40 Mn |
| Dec 31, 2021 | 44.50 Mn |
| Sep 24, 2021 | 43.20 Mn |
Ultra Clean Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();