InterDigital (IDCC) Operating Expenses (2009 - 2026)
InterDigital's Operating Expenses was $120.93 million in Q2 2026, up 27.1% from $95.17 million a year earlier but down 1.8% from the prior quarter.
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Analysis
InterDigital (IDCC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, InterDigital's Operating Expenses was $443.4 million through Jun 30, 2026, up 25.4% year-over-year; for FY2025, it was $373.16 million, down 13.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $429 million in FY2024 (+30.8%), $327.97 million in FY2023 (+6.7%), $307.28 million in FY2022 (-13.2%) and $354.2 million in FY2021 (+16.6%).
- Quarterly Operating Expenses has moved between $71.13 million (Q1 2022) and $159.8 million (Q1 2024) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 9.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 92.3%); the worst was Q1 2025 (a decline of 50.8%).
- Per Business Quant data, IDCC's Operating Expenses in the three quarters before Q2 2026 was $123.16 million (Q1 2026), $110.44 million (Q4 2025) and $88.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 1.51 Bn |
| 10 | InterDigital | 8.44 Bn | 3.74 Bn | 225.45 Mn | 120.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.93 Mn |
| Mar 31, 2026 | 123.16 Mn |
| Dec 31, 2025 | 110.44 Mn |
| Sep 30, 2025 | 88.87 Mn |
| Jun 30, 2025 | 95.17 Mn |
| Mar 31, 2025 | 78.68 Mn |
| Dec 31, 2024 | 90.28 Mn |
| Sep 30, 2024 | 89.34 Mn |
| Jun 30, 2024 | 89.59 Mn |
| Mar 31, 2024 | 159.80 Mn |
| Dec 31, 2023 | 80.19 Mn |
| Sep 30, 2023 | 86.45 Mn |
| Jun 30, 2023 | 78.22 Mn |
| Mar 31, 2023 | 83.11 Mn |
| Dec 31, 2022 | 78.46 Mn |
| Sep 30, 2022 | 82.93 Mn |
| Jun 30, 2022 | 74.76 Mn |
| Mar 31, 2022 | 71.13 Mn |
| Dec 31, 2021 | 86.23 Mn |
| Sep 30, 2021 | 106.72 Mn |
API Access
InterDigital Operating 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=operating-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();