Adeia (ADEA) Capital Expenditures (2019 - 2026)
Adeia's Capital Expenditures was $561,000 in Q2 2026, up 192.2% from $192,000 a year earlier and up 29.3% from the prior quarter.
Adeia (ADEA) Capital Expenditures (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Adeia's Capital Expenditures was $2.38 million through Jun 30, 2026, up 131.8% year-over-year; for FY2025, it was $1.81 million, down 0.8% from FY2024.
- Capital Expenditures has now declined for four consecutive years, with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $1.82 million in FY2024 (-52.2%), $3.81 million in FY2023 (-69.7%), $12.58 million in FY2022 (-9.8%) and $13.95 million in FY2021 (+89.1%).
- Quarterly Capital Expenditures has moved between $60,000 (Q3 2024) and $5.65 million (Q4 2021) over five years.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with growth averaging 1.3% over the last seven quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2021 (growth of 217.6%); the worst was Q1 2023 (a decline of 90.9%).
- Per Business Quant data, ADEA's Capital Expenditures in the three quarters before Q2 2026 was $434,000 (Q1 2026), $590,000 (Q4 2025) and $796,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Adeia | 2.75 Bn | 1.99 Bn | - | 561,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 561,000.00 |
| Mar 31, 2026 | 434,000.00 |
| Dec 31, 2025 | 590,000.00 |
| Sep 30, 2025 | 796,000.00 |
| Jun 30, 2025 | 192,000.00 |
| Mar 31, 2025 | 228,000.00 |
| Dec 31, 2024 | 547,000.00 |
| Sep 30, 2024 | 60,000.00 |
| Jun 30, 2024 | 421,000.00 |
| Mar 31, 2024 | 793,000.00 |
| Dec 31, 2023 | 1.88 Mn |
| Sep 30, 2023 | 391,000.00 |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 390,000.00 |
| Sep 30, 2022 | 3.71 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 4.29 Mn |
| Dec 31, 2021 | 5.65 Mn |
| Sep 30, 2021 | 3.44 Mn |
| Jun 30, 2021 | 3.09 Mn |
Adeia Capital Expenditures 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=capital-expenditures&ticker=ADEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();