Adeia (ADEA) Accumulated Expenses (2019 - 2026)
Adeia's Accumulated Expenses was $21.71 million in Q2 2026, up 13.2% from $19.17 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Adeia (ADEA) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Adeia came in at $34.25 million, up 39.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -23.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $24.52 million in FY2024 (+41.4%), $17.34 million in FY2023 (-34.1%), $26.34 million in FY2022 (+21.1%) and $21.75 million in FY2021 (-83.1%).
- Quarterly Accumulated Expenses has moved between $11.89 million (Q1 2024) and $125.92 million (Q3 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 29.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2026 (growth of 74.9%); the worst was Q2 2023 (a decline of 87.9%).
- Per Business Quant data, ADEA's Accumulated Expenses in the three quarters before Q2 2026 was $21.1 million (Q1 2026), $34.25 million (Q4 2025) and $21.49 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 | 21.71 Mn |
| Mar 31, 2026 | 21.10 Mn |
| Dec 31, 2025 | 34.25 Mn |
| Sep 30, 2025 | 21.49 Mn |
| Jun 30, 2025 | 19.17 Mn |
| Mar 31, 2025 | 12.06 Mn |
| Dec 31, 2024 | 24.52 Mn |
| Sep 30, 2024 | 16.24 Mn |
| Jun 30, 2024 | 13.43 Mn |
| Mar 31, 2024 | 11.89 Mn |
| Dec 31, 2023 | 17.34 Mn |
| Sep 30, 2023 | 18.51 Mn |
| Jun 30, 2023 | 14.09 Mn |
| Mar 31, 2023 | 29.43 Mn |
| Dec 31, 2022 | 26.34 Mn |
| Sep 30, 2022 | 125.92 Mn |
| Jun 30, 2022 | 116.01 Mn |
| Mar 31, 2022 | 99.54 Mn |
| Dec 31, 2021 | 21.75 Mn |
| Sep 30, 2021 | 108.93 Mn |
API Access
Adeia Accumulated Expenses 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=accumulated-expenses&ticker=ADEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();