Adeia (ADEA) Operating Expenses (2019 - 2026)
Adeia (ADEA) posted Operating Expenses of $70.74 million for Q2 2026, up 2.0% from $69.33 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Adeia (ADEA) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Adeia was $274.9 million, up 8.3% year-over-year; for FY2025, it came in at $268.38 million, up 8.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Adeia's Operating Expenses was $247.42 million in FY2024 (-2.0%), $252.56 million in FY2023 (-11.7%), $285.87 million in FY2022 (+5.0%) and $272.18 million in FY2021 (+9.5%).
- Quarterly Operating Expenses has run from a low of $57.98 million in Q3 2024 to a high of $73.89 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 19.8%; the weakest was Q3 2021, with a decline of 71.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $69.94 million (Q1 2026), $73.89 million (Q4 2025) and $60.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Adeia | 2.75 Bn | 1.99 Bn | - | 70.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.74 Mn |
| Mar 31, 2026 | 69.94 Mn |
| Dec 31, 2025 | 73.89 Mn |
| Sep 30, 2025 | 60.33 Mn |
| Jun 30, 2025 | 69.33 Mn |
| Mar 31, 2025 | 64.84 Mn |
| Dec 31, 2024 | 61.69 Mn |
| Sep 30, 2024 | 57.98 Mn |
| Jun 30, 2024 | 63.71 Mn |
| Mar 31, 2024 | 64.04 Mn |
| Dec 31, 2023 | 63.60 Mn |
| Sep 30, 2023 | 61.28 Mn |
| Jun 30, 2023 | 65.49 Mn |
| Mar 31, 2023 | 62.18 Mn |
| Dec 31, 2022 | 70.05 Mn |
| Sep 30, 2022 | 73.65 Mn |
| Jun 30, 2022 | 73.09 Mn |
| Mar 31, 2022 | 69.08 Mn |
| Dec 31, 2021 | 72.74 Mn |
| Sep 30, 2021 | 64.16 Mn |
API Access
Adeia Operating 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=operating-expenses&ticker=ADEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();