Ultra Clean Holdings (UCTT) Receivables (2009 - 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.
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Analysis
Ultra Clean Holdings (UCTT) Receivables (2009 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 15.18 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 36.65 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 9.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 272.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 272.40 Mn |
| 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 |
API Access
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_KEYimport 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();