Universal Display Corp \Pa\ (OLED) Amortization - Intangibles (2016 - 2026)
Universal Display Corp \Pa\'s Amortization - Intangibles came in at $5.72 million for Q2 2026, up 25.7% from $4.55 million a year earlier and up 2.3% from the prior quarter.
Universal Display Corp \Pa\ (OLED) Amortization - Intangibles (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Universal Display Corp \Pa\ reported Amortization - Intangibles of $20.41 million, up 12.2% year-over-year; for FY2025, it came in at $18.2 million, unchanged from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $18.2 million in FY2024 (+13.8%), $15.99 million in FY2023 (-8.4%), $17.46 million in FY2022 (-20.6%) and $21.99 million in FY2021 (+0.1%).
- The Q2 2026 figure represents the highest quarterly Amortization - Intangibles in data going back to Q1 2016.
- Year-over-year, Amortization - Intangibles increased in two of the last eight quarters, with growth averaging 6.1%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2024 (growth of 57.3%), and the weakest in Q1 2023 (a decline of 47.4%).
- Business Quant data shows OLED's Amortization - Intangibles at $5.59 million (Q1 2026), $4.55 million (Q4 2025) and $4.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn |
| 10 | Universal Display Corp \Pa\ | 3.52 Bn | 1.33 Bn | 115.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | 5.59 Mn |
| Dec 31, 2025 | 4.55 Mn |
| Sep 30, 2025 | 4.55 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 4.55 Mn |
| Dec 31, 2024 | 4.55 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 4.55 Mn |
| Mar 31, 2024 | 4.55 Mn |
| Dec 31, 2023 | 4.55 Mn |
| Sep 30, 2023 | 4.56 Mn |
| Jun 30, 2023 | 3.99 Mn |
| Mar 31, 2023 | 2.89 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 3.56 Mn |
| Jun 30, 2022 | 5.50 Mn |
| Mar 31, 2022 | 5.50 Mn |
| Dec 31, 2021 | 5.50 Mn |
| Sep 30, 2021 | 5.51 Mn |
Universal Display Corp \Pa\ Amortization - 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=amortization-intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();