InterDigital (IDCC) Total Liabilities (2009 - 2026)
InterDigital's Total Liabilities was $989.92 million in Q2 2026, up 10.2% from $897.93 million a year earlier and up 2.4% from the prior quarter.
InterDigital (IDCC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at InterDigital came in at $963.17 million, down 1.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $978.31 million in FY2024 (-17.7%), $1.19 billion in FY2023 (+1.7%), $1.17 billion in FY2022 (+33.6%) and $875.24 million in FY2021 (+6.8%).
- Quarterly Total Liabilities has moved between $835.36 million (Q1 2022) and $1.24 billion (Q3 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with an average decline of 5.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 34.5%); the worst was Q1 2025 (a decline of 21.8%).
- Per Business Quant data, IDCC's Total Liabilities in the three quarters before Q2 2026 was $967.11 million (Q1 2026), $963.17 million (Q4 2025) and $1.04 billion (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 | InterDigital | 8.44 Bn | 3.74 Bn | 225.45 Mn | 989.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 989.92 Mn |
| Mar 31, 2026 | 967.11 Mn |
| Dec 31, 2025 | 963.17 Mn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 897.93 Mn |
| Mar 31, 2025 | 924.96 Mn |
| Dec 31, 2024 | 978.31 Mn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 939.52 Mn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.19 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 932.25 Mn |
| Mar 31, 2022 | 835.36 Mn |
| Dec 31, 2021 | 875.24 Mn |
| Sep 30, 2021 | 954.87 Mn |
InterDigital 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=IDCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IDCC", "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=IDCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();