Adeia (ADEA) Total Liabilities (2019 - 2026)
Adeia (ADEA) posted Total Liabilities of $536.31 million for Q2 2026, down 21.1% from $679.98 million a year earlier but up 0.1% from the prior quarter.
Adeia (ADEA) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Adeia's Total Liabilities came in at $558.76 million, down 20.3% from FY2024.
- Annual Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -14.9% (FY2020 to FY2025).
- In prior years, Adeia's Total Liabilities was $701.39 million in FY2024 (-6.3%), $748.93 million in FY2023 (-17.6%), $909.11 million in FY2022 (-19.5%) and $1.13 billion in FY2021 (-9.6%).
- Quarterly Total Liabilities has run from a low of $535.82 million in Q1 2026 to a high of $1.18 billion in Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 15 quarters, with an average decline of 12.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 2.5%; the weakest was Q3 2023, with a decline of 34.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $535.82 million (Q1 2026), $558.76 million (Q4 2025) and $654.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Adeia | 2.75 Bn | 1.99 Bn | - | 536.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 536.31 Mn |
| Mar 31, 2026 | 535.82 Mn |
| Dec 31, 2025 | 558.76 Mn |
| Sep 30, 2025 | 654.95 Mn |
| Jun 30, 2025 | 679.98 Mn |
| Mar 31, 2025 | 697.59 Mn |
| Dec 31, 2024 | 701.39 Mn |
| Sep 30, 2024 | 704.95 Mn |
| Jun 30, 2024 | 709.54 Mn |
| Mar 31, 2024 | 729.39 Mn |
| Dec 31, 2023 | 748.93 Mn |
| Sep 30, 2023 | 780.25 Mn |
| Jun 30, 2023 | 799.59 Mn |
| Mar 31, 2023 | 831.20 Mn |
| Dec 31, 2022 | 909.11 Mn |
| Sep 30, 2022 | 1.18 Bn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.13 Bn |
| Sep 30, 2021 | 1.15 Bn |
Adeia Total Liabilities 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=total-liabilities&ticker=ADEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();