InterDigital (IDCC) Accumulated Expenses (2009 - 2026)
InterDigital (IDCC) posted Accumulated Expenses of $35.96 million for Q2 2026, up 59.8% from $22.5 million a year earlier and up 15.2% from the prior quarter.
InterDigital (IDCC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, InterDigital's Accumulated Expenses came in at $22.33 million, down 11.2% from FY2024.
- Annual Accumulated Expenses shows a three-year compound annual growth rate of -1.7% (FY2022 to FY2025).
- In prior years, InterDigital's Accumulated Expenses was $25.13 million in FY2024 (-74.4%), $98.04 million in FY2023 (+317.1%) and $23.51 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 26.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 317.1%; the weakest was Q1 2025, with a decline of 80.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $31.21 million (Q1 2026), $22.33 million (Q4 2025) and $29.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | InterDigital | 8.41 Bn | 3.71 Bn | 225.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.96 Mn |
| Mar 31, 2026 | 31.21 Mn |
| Dec 31, 2025 | 22.33 Mn |
| Sep 30, 2025 | 29.58 Mn |
| Jun 30, 2025 | 22.50 Mn |
| Mar 31, 2025 | 24.20 Mn |
| Dec 31, 2024 | 25.13 Mn |
| Sep 30, 2024 | 42.29 Mn |
| Jun 30, 2024 | 40.89 Mn |
| Mar 31, 2024 | 122.17 Mn |
| Dec 31, 2023 | 98.04 Mn |
| Sep 30, 2023 | 101.19 Mn |
| Jun 30, 2023 | 108.33 Mn |
| Dec 31, 2022 | 23.51 Mn |
| Dec 31, 2009 | 600,000.00 |
InterDigital Accumulated Expenses 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=accumulated-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();