InterDigital (IDCC) Other Operating Expenses (2009 - 2026)
InterDigital (IDCC) recorded Other Operating Expenses of $34.73 million in Q2 2026, up 45.2% from $23.91 million a year earlier but down 33.4% from the prior quarter.
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Analysis
InterDigital (IDCC) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, InterDigital's Other Operating Expenses came in at $138.9 million as of Jun 30, 2026, up 55.9% year-over-year; for FY2025, it came in at $93.64 million, down 44.7% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 40.8% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $169.24 million in FY2024 (+113.2%), $79.4 million in FY2023, -$3.46 million in FY2022 and $11.58 million in FY2021 (-31.6%).
- Quarterly Other Operating Expenses has ranged from -$1.54 million in Q3 2021 to $96.59 million in Q1 2024 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 26.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 470.1% in Q2 2022, against a decline of 81.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $52.12 million (Q1 2026), $32.34 million (Q4 2025) and $19.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | InterDigital | 8.44 Bn | 3.74 Bn | 225.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.73 Mn |
| Mar 31, 2026 | 52.12 Mn |
| Dec 31, 2025 | 32.34 Mn |
| Sep 30, 2025 | 19.72 Mn |
| Jun 30, 2025 | 23.91 Mn |
| Mar 31, 2025 | 17.68 Mn |
| Dec 31, 2024 | 20.03 Mn |
| Sep 30, 2024 | 27.47 Mn |
| Jun 30, 2024 | 25.16 Mn |
| Mar 31, 2024 | 96.59 Mn |
| Dec 31, 2023 | 19.86 Mn |
| Sep 30, 2023 | 21.52 Mn |
| Jun 30, 2023 | 16.64 Mn |
| Mar 31, 2023 | 21.37 Mn |
| Dec 31, 2022 | 20.17 Mn |
| Sep 30, 2022 | 18.39 Mn |
| Jun 30, 2022 | 17.33 Mn |
| Mar 31, 2022 | -1.01 Mn |
| Dec 31, 2021 | 9.35 Mn |
| Sep 30, 2021 | -1.54 Mn |
API Access
InterDigital Other 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=other-operating-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=IDCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();