Ultra Clean Holdings (UCTT) Receivables (2010 - 2026)
Ultra Clean Holdings' Receivables came in at $208 million for Q2 2026, up 0.6% from $206.7 million a year earlier but down 10.7% from the prior quarter.
Ultra Clean Holdings (UCTT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Receivables was $208.8 million, down 13.4% from FY2024.
- Receivables carries a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by year, Receivables was $241.1 million in FY2024 (+33.4%), $180.8 million in FY2023 (-28.7%), $253.7 million in FY2022 (+1.4%) and $250.1 million in FY2021 (+71.9%).
- The five-year range for quarterly Receivables is $170.5 million (Q3 2023) to $279.3 million (Q1 2022).
- Year-over-year, Receivables increased in five of the last eight quarters, with growth averaging 7.6%.
- The fastest year-over-year change in Receivables over five years came in Q4 2021 (growth of 71.9%), and the weakest in Q1 2023 (a decline of 31.9%).
- Business Quant data shows UCTT's Receivables at $232.8 million (Q1 2026), $208.8 million (Q4 2025) and $199.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 208.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 208.00 Mn |
| Mar 27, 2026 | 232.80 Mn |
| Dec 26, 2025 | 208.80 Mn |
| Sep 26, 2025 | 199.50 Mn |
| Jun 27, 2025 | 206.70 Mn |
| Mar 28, 2025 | 217.90 Mn |
| Dec 27, 2024 | 241.10 Mn |
| Sep 27, 2024 | 228.10 Mn |
| Jun 28, 2024 | 206.90 Mn |
| Mar 29, 2024 | 194.50 Mn |
| Dec 29, 2023 | 180.80 Mn |
| Sep 29, 2023 | 170.50 Mn |
| Jun 30, 2023 | 178.60 Mn |
| Mar 31, 2023 | 190.30 Mn |
| Dec 30, 2022 | 253.70 Mn |
| Sep 30, 2022 | 236.00 Mn |
| Jul 1, 2022 | 243.80 Mn |
| Apr 1, 2022 | 279.30 Mn |
| Dec 31, 2021 | 250.10 Mn |
| Sep 24, 2021 | 239.80 Mn |
Ultra Clean Holdings Receivables 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=receivables&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();