Universal Display Corp \Pa\ (OLED) Intangibles (2011 - 2026)
Universal Display Corp \Pa\'s Intangibles was $96.19 million in Q2 2026, up 47.6% from $65.17 million a year earlier but down 5.3% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Universal Display Corp \Pa\ came in at $56.78 million, down 22.8% from FY2024.
- Intangibles shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Intangibles was $73.55 million in FY2024 (-18.6%), $90.33 million in FY2023 (+135.3%), $38.38 million in FY2022 (-22.7%) and $49.67 million in FY2021 (-29.3%).
- Quarterly Intangibles has moved between $35.84 million (Q1 2023) and $101.55 million (Q1 2026) over five years.
- Compared with a year earlier, Intangibles was higher in two of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Intangibles over five years was Q2 2023 (growth of 149.4%); the worst was Q2 2022 (a decline of 34.3%).
- Per Business Quant data, OLED's Intangibles in the three quarters before Q2 2026 was $101.55 million (Q1 2026), $56.78 million (Q4 2025) and $60.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 2.55 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 315.00 Mn |
| 10 | Universal Display Corp \Pa\ | 3.49 Bn | 1.30 Bn | 115.37 Mn | 96.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.19 Mn |
| Mar 31, 2026 | 101.55 Mn |
| Dec 31, 2025 | 56.78 Mn |
| Sep 30, 2025 | 60.98 Mn |
| Jun 30, 2025 | 65.17 Mn |
| Mar 31, 2025 | 69.36 Mn |
| Dec 31, 2024 | 73.55 Mn |
| Sep 30, 2024 | 77.75 Mn |
| Jun 30, 2024 | 81.94 Mn |
| Mar 31, 2024 | 86.13 Mn |
| Dec 31, 2023 | 90.33 Mn |
| Sep 30, 2023 | 94.52 Mn |
| Jun 30, 2023 | 98.22 Mn |
| Mar 31, 2023 | 35.84 Mn |
| Dec 31, 2022 | 38.38 Mn |
| Sep 30, 2022 | 40.92 Mn |
| Jun 30, 2022 | 39.38 Mn |
| Mar 31, 2022 | 44.52 Mn |
| Dec 31, 2021 | 49.67 Mn |
| Sep 30, 2021 | 54.81 Mn |
Universal Display Corp \Pa\ Intangibles 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=intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();