Adeia (ADEA) Total Debt (2019 - 2026)
Adeia's Total Debt came in at $386.02 million for Q2 2026, down 14.0% from $448.93 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Adeia (ADEA) Total Debt (2019 - 2026) Analysis & Trends
At the end of FY2025, Adeia's Total Debt was $418.45 million, down 12.0% from FY2024.
- Total Debt has declined in each of the last five years, with a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Going back by year, Total Debt was $475.46 million in FY2024 (-18.8%), $585.7 million in FY2023 (-19.7%), $729.39 million in FY2022 (-4.7%) and $765.49 million in FY2021 (-8.8%).
- The Q2 2026 figure represents the lowest quarterly Total Debt since Q4 2019.
- Year-over-year, Total Debt has declined for 15 consecutive quarters, with an average decline of 15.3% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in Q3 2022 (growth of 1.8%), and the weakest in Q3 2021 (a decline of 22.6%).
- Business Quant data shows ADEA's Total Debt at $391.26 million (Q1 2026), $418.45 million (Q4 2025) and $438.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 6.80 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 5.18 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 7.08 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 5.16 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 50.13 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 6.54 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 13.56 Bn |
| 10 | Adeia | 1.71 Bn | 936.03 Mn | - | 380.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 380.77 Mn |
| Jun 30, 2026 | 386.02 Mn |
| Mar 31, 2026 | 391.26 Mn |
| Dec 31, 2025 | 418.45 Mn |
| Sep 30, 2025 | 438.69 Mn |
| Jun 30, 2025 | 448.93 Mn |
| Mar 31, 2025 | 459.19 Mn |
| Dec 31, 2024 | 475.46 Mn |
| Sep 30, 2024 | 524.42 Mn |
| Jun 30, 2024 | 535.61 Mn |
| Mar 31, 2024 | 546.33 Mn |
| Dec 31, 2023 | 585.70 Mn |
| Sep 30, 2023 | 613.77 Mn |
| Jun 30, 2023 | 627.88 Mn |
| Mar 31, 2023 | 646.94 Mn |
| Dec 31, 2022 | 729.39 Mn |
| Sep 30, 2022 | 788.44 Mn |
| Jun 30, 2022 | 747.47 Mn |
| Mar 31, 2022 | 756.49 Mn |
| Dec 31, 2021 | 765.49 Mn |
API Access
Adeia Total Debt 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-debt&ticker=ADEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();