Ultra Clean Holdings (UCTT) Inventory (2010 - 2026)
Ultra Clean Holdings (UCTT) reported Inventory of $629.9 million for Q2 2026, up 67.7% from $375.6 million a year earlier and up 30.7% from the prior quarter.
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Analysis
Ultra Clean Holdings (UCTT) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings posted Inventory of $390.9 million, up 2.6% from FY2024.
- Inventory has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Inventory came in at $381 million in FY2024 (+1.7%), $374.5 million in FY2023 (-15.6%), $443.9 million in FY2022 (+17.1%) and $379.2 million in FY2021 (+110.2%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2010.
- Year over year, Inventory has now increased in each of the last three quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2022 (growth of 132.7%); the low point was Q4 2023 (a decline of 15.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $481.9 million (Q1 2026), $390.9 million (Q4 2025) and $382.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn | 629.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 629.90 Mn |
| Mar 27, 2026 | 481.90 Mn |
| Dec 26, 2025 | 390.90 Mn |
| Sep 26, 2025 | 382.20 Mn |
| Jun 27, 2025 | 375.60 Mn |
| Mar 28, 2025 | 374.60 Mn |
| Dec 27, 2024 | 381.00 Mn |
| Sep 27, 2024 | 402.60 Mn |
| Jun 28, 2024 | 399.90 Mn |
| Mar 29, 2024 | 388.10 Mn |
| Dec 29, 2023 | 374.50 Mn |
| Sep 29, 2023 | 378.30 Mn |
| Jun 30, 2023 | 378.30 Mn |
| Mar 31, 2023 | 433.00 Mn |
| Dec 30, 2022 | 443.90 Mn |
| Sep 30, 2022 | 405.10 Mn |
| Jul 1, 2022 | 405.10 Mn |
| Apr 1, 2022 | 440.30 Mn |
| Dec 31, 2021 | 379.20 Mn |
| Sep 24, 2021 | 324.60 Mn |
API Access
Ultra Clean Holdings Inventory 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=inventory&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();