Adeia (ADEA) Long-Term Debt Repayments (2019 - 2026)
Adeia (ADEA) posted Long-Term Debt Repayments of $6.09 million for Q2 2026, down 45.1% from $11.09 million a year earlier and down 78.3% from the prior quarter.
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Analysis
Adeia (ADEA) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Adeia was $66.36 million, down 26.4% year-over-year; for FY2025, it came in at $60.36 million, down 47.1% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -35.0% (FY2020 to FY2025).
- In prior years, Adeia's Long-Term Debt Repayments was $114.17 million in FY2024 (-22.9%), $148 million in FY2023 (+265.4%), $40.5 million in FY2022 (-51.8%) and $84.05 million in FY2021 (-83.8%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments in data going back to Q4 2019.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last eight quarters, with an average decline of 7.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2023, with growth of 725.9%; the weakest was Q4 2021, with a decline of 93.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $28.09 million (Q1 2026), $21.09 million (Q4 2025) and $11.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 1.36 Mn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | - |
| 10 | Adeia | 2.32 Bn | 1.57 Bn | - | 6.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.09 Mn |
| Mar 31, 2026 | 28.09 Mn |
| Dec 31, 2025 | 21.09 Mn |
| Sep 30, 2025 | 11.09 Mn |
| Jun 30, 2025 | 11.09 Mn |
| Mar 31, 2025 | 17.09 Mn |
| Dec 31, 2024 | 50.01 Mn |
| Sep 30, 2024 | 12.01 Mn |
| Jun 30, 2024 | 12.01 Mn |
| Mar 31, 2024 | 40.13 Mn |
| Dec 31, 2023 | 29.13 Mn |
| Sep 30, 2023 | 15.13 Mn |
| Jun 30, 2023 | 20.13 Mn |
| Mar 31, 2023 | 83.63 Mn |
| Dec 31, 2022 | 10.13 Mn |
| Sep 30, 2022 | 10.13 Mn |
| Jun 30, 2022 | 10.13 Mn |
| Mar 31, 2022 | 10.13 Mn |
| Dec 31, 2021 | 10.13 Mn |
| Sep 30, 2021 | 10.17 Mn |
API Access
Adeia Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ADEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ADEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();