InterDigital (IDCC) Total Non-Current Liabilities (2009 - 2026)
InterDigital (IDCC) reported Total Non-Current Liabilities of $928.4 million for Q2 2026, up 10.6% from $839.06 million a year earlier and up 2.2% from the prior quarter.
InterDigital (IDCC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, InterDigital posted Total Non-Current Liabilities of $904.68 million, down 2.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $923.37 million in FY2024 (-18.6%), $1.13 billion in FY2023 (+1.6%), $1.12 billion in FY2022 (+37.1%) and $813.77 million in FY2021 (+5.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $784.58 million in Q1 2022 and a high of $1.19 billion in Q3 2023.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 6.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 37.1%); the low point was Q1 2025 (a decline of 22.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $908.2 million (Q1 2026), $904.68 million (Q4 2025) and $979.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 16.48 Bn |
| 10 | InterDigital | 8.44 Bn | 3.74 Bn | 225.45 Mn | 928.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 928.40 Mn |
| Mar 31, 2026 | 908.20 Mn |
| Dec 31, 2025 | 904.68 Mn |
| Sep 30, 2025 | 979.66 Mn |
| Jun 30, 2025 | 839.06 Mn |
| Mar 31, 2025 | 869.59 Mn |
| Dec 31, 2024 | 923.37 Mn |
| Sep 30, 2024 | 946.74 Mn |
| Jun 30, 2024 | 883.30 Mn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 882.27 Mn |
| Mar 31, 2022 | 784.58 Mn |
| Dec 31, 2021 | 813.77 Mn |
| Sep 30, 2021 | 895.70 Mn |
InterDigital Total Non-Current 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-non-current-liabilities&ticker=IDCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IDCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();