Universal Display Corp \Pa\ (OLED) Amortizatization of Intangibles (2010 - 2026)
Universal Display Corp \Pa\ (OLED) recorded Amortizatization of Intangibles of $5.72 million in 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) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
On a TTM basis, Universal Display Corp \Pa\'s Amortizatization of Intangibles came in at $20.41 million as of Jun 30, 2026, up 12.2% year-over-year; for FY2025, it was $18.2 million, unchanged from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $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 is the highest quarterly Amortizatization of Intangibles in data going back to Q3 2010.
- On a year-over-year basis, Amortizatization of Intangibles rose in two of the last eight quarters, with growth averaging 6.1%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 57.3% in Q1 2024, against a decline of 47.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.59 million (Q1 2026), $4.55 million (Q4 2025) and $4.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Universal Display Corp \Pa\ | 3.72 Bn | 1.52 Bn | 115.37 Mn | 5.72 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\ Amortizatization of 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=amortizatization-of-intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=OLED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();