Immersion (IMMR) Operating Expenses (2010 - 2026)
Immersion's Operating Expenses came in at $80.37 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 5.2% from $84.79 million a year earlier but up 3.5% from the prior quarter.
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Analysis
Immersion (IMMR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Immersion reported Operating Expenses of $340.94 million, up 0.7% year-over-year; for FY2026 (ended Apr 30, 2026), it was $345.37 million, up 10.1% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 82.0% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $313.68 million in FY2025 (+954.4%), $29.75 million in FY2024, $15.99 million in FY2023 (+13.9%) and $14.04 million in FY2022 (-18.9%).
- The five-year range for quarterly Operating Expenses is $77.64 million (fiscal Q4 2026) to $95.01 million (fiscal Q2 2026).
- Year-over-year, Operating Expenses increased in two of the last four quarters, with growth averaging 0.8%.
- Business Quant data shows IMMR's Operating Expenses at $77.64 million (Q4 2026), $87.92 million (Q3 2026) and $95.01 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | Immersion | 240.74 Mn | -253.57 Mn | 60.38 Mn | 80.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 80.37 Mn |
| Apr 30, 2026 | 77.64 Mn |
| Jan 31, 2026 | 87.92 Mn |
| Oct 31, 2025 | 95.01 Mn |
| Jul 31, 2025 | 84.79 Mn |
| Apr 30, 2025 | 85.79 Mn |
| Jan 31, 2025 | 81.53 Mn |
| Oct 31, 2024 | 86.34 Mn |
| Jun 30, 2024 | 34.87 Mn |
| Mar 31, 2024 | 27.23 Mn |
| Dec 31, 2023 | 5.34 Mn |
| Sep 30, 2023 | 2.96 Mn |
| Jun 30, 2023 | 3.87 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 3.38 Mn |
| Sep 30, 2022 | 3.08 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 3.71 Mn |
| Dec 31, 2021 | 3.95 Mn |
| Sep 30, 2021 | 3.50 Mn |
API Access
Immersion 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=IMMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMMR", "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=IMMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();