Adeia (ADEA) Amortization - Intangibles (2019 - 2026)
Adeia (ADEA) reported Amortization - Intangibles of $16.09 million for Q2 2026, up 13.5% from $14.17 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Adeia (ADEA) Amortization - Intangibles (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adeia's Amortization - Intangibles came in at $60.39 million, up 8.3% year-over-year; for FY2025, it was $56.62 million, down 19.9% from FY2024.
- Amortization - Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $70.72 million in FY2024 (-24.6%), $93.74 million in FY2023 (-3.4%), $97.08 million in FY2022 (-1.0%) and $98.09 million in FY2021 (+67.3%).
- The Q2 2026 figure ranks as the highest quarterly Amortization - Intangibles since Q2 2024.
- Year over year, Amortization - Intangibles has now increased in each of the last four quarters, with an average decline of 14.6% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q2 2026 (growth of 13.5%); the low point was Q3 2022 (a decline of 53.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.93 million (Q1 2026), $14.19 million (Q4 2025) and $14.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Adeia | 2.82 Bn | 2.07 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.09 Mn |
| Mar 31, 2026 | 15.93 Mn |
| Dec 31, 2025 | 14.19 Mn |
| Sep 30, 2025 | 14.18 Mn |
| Jun 30, 2025 | 14.17 Mn |
| Mar 31, 2025 | 14.08 Mn |
| Dec 31, 2024 | 13.93 Mn |
| Sep 30, 2024 | 13.60 Mn |
| Jun 30, 2024 | 20.03 Mn |
| Mar 31, 2024 | 23.16 Mn |
| Dec 31, 2023 | 23.01 Mn |
| Sep 30, 2023 | 23.39 Mn |
| Jun 30, 2023 | 23.65 Mn |
| Mar 31, 2023 | 23.69 Mn |
| Dec 31, 2022 | 23.95 Mn |
| Sep 30, 2022 | 24.20 Mn |
| Jun 30, 2022 | 24.41 Mn |
| Mar 31, 2022 | 24.53 Mn |
| Dec 31, 2021 | -58.74 Mn |
| Sep 30, 2021 | 52.39 Mn |
API Access
Adeia 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=ADEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ADEA", "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=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();