Universal Display Corp \Pa\ (OLED) Inventory (2011 - 2026)
Universal Display Corp \Pa\'s Inventory came in at $249.65 million for Q2 2026, up 19.9% from $208.2 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Universal Display Corp \Pa\ (OLED) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, Universal Display Corp \Pa\'s Inventory was $240.91 million, up 31.7% from FY2024.
- Inventory carries a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Going back by year, Inventory was $182.94 million in FY2024 (+4.1%), $175.8 million in FY2023 (-4.1%), $183.22 million in FY2022 (+36.6%) and $134.16 million in FY2021 (+46.5%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2011.
- Year-over-year, Inventory has increased for seven consecutive quarters, with growth averaging 16.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2022 (growth of 58.3%), and the weakest in Q4 2023 (a decline of 4.1%).
- Business Quant data shows OLED's Inventory at $248.21 million (Q1 2026), $240.91 million (Q4 2025) and $212.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Universal Display Corp \Pa\ | 3.49 Bn | 1.30 Bn | 115.37 Mn | 249.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249.65 Mn |
| Mar 31, 2026 | 248.21 Mn |
| Dec 31, 2025 | 240.91 Mn |
| Sep 30, 2025 | 212.62 Mn |
| Jun 30, 2025 | 208.20 Mn |
| Mar 31, 2025 | 197.40 Mn |
| Dec 31, 2024 | 182.94 Mn |
| Sep 30, 2024 | 175.96 Mn |
| Jun 30, 2024 | 171.84 Mn |
| Mar 31, 2024 | 172.91 Mn |
| Dec 31, 2023 | 175.80 Mn |
| Sep 30, 2023 | 181.41 Mn |
| Jun 30, 2023 | 175.86 Mn |
| Mar 31, 2023 | 174.25 Mn |
| Dec 31, 2022 | 183.22 Mn |
| Sep 30, 2022 | 180.19 Mn |
| Jun 30, 2022 | 165.64 Mn |
| Mar 31, 2022 | 143.24 Mn |
| Dec 31, 2021 | 134.16 Mn |
| Sep 30, 2021 | 121.49 Mn |
API Access
Universal Display Corp \Pa\ 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=OLED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "OLED", "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=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();