Immersion (IMMR) Operating Leases (2024 - 2026)
Immersion (IMMR) recorded Operating Leases of $81.35 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 40.1% from $135.91 million a year earlier and down 3.4% from the prior quarter.
Immersion (IMMR) Operating Leases (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Immersion reported Operating Leases of $84.2 million, down 30.5% from FY2025.
- Across earlier fiscal years, Operating Leases came in at $121.09 million in FY2025.
- The fiscal Q1 2027 figure is the lowest quarterly Operating Leases in data going back to fiscal Q2 2025.
- On a year-over-year basis, Operating Leases rose in 1 of the last four quarters, with an average decline of 17.1%.
- Per Business Quant, the preceding three fiscal quarters came in at $84.2 million (Q4 2026), $132.39 million (Q3 2026) and $133.85 million (Q2 2026).
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 | Immersion | 240.74 Mn | -253.57 Mn | 60.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 81.35 Mn |
| Apr 30, 2026 | 84.20 Mn |
| Jan 31, 2026 | 132.39 Mn |
| Oct 31, 2025 | 133.85 Mn |
| Jul 31, 2025 | 135.91 Mn |
| Apr 30, 2025 | 121.09 Mn |
| Jan 31, 2025 | 128.34 Mn |
| Oct 31, 2024 | 135.26 Mn |
| Jun 30, 2024 | 132.64 Mn |
Immersion Operating Leases 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-leases&ticker=IMMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=IMMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();