Immersion (IMMR) Price to Earnings (2013 - 2026)
Immersion's (IMMR) Price to Earnings was 24.30 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 285.4% from 6.31 a year earlier but down 45.9% from the prior quarter.
Analysis
Immersion (IMMR) Price to Earnings (2013 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Earnings at Immersion was 44.89.
- By fiscal year, Price to Earnings came in at 3.66 in FY2025 (-71.9%), 13.03 in FY2024, 6.55 in FY2023 (-11.4%) and 7.39 in FY2022 (-53.0%).
- Five-year quarterly Price to Earnings spans a low of 2.71 in fiscal Q3 2025 and a high of 44.89 in fiscal Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Immersion | 245.39 Mn | -248.92 Mn | 60.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24.30 |
| Apr 30, 2026 | 44.89 |
| Oct 31, 2025 | 12.59 |
| Jul 31, 2025 | 6.31 |
| Apr 30, 2025 | 3.69 |
| Jan 31, 2025 | 2.71 |
| Oct 31, 2024 | 2.96 |
| Jun 30, 2024 | 4.72 |
| Mar 31, 2024 | 5.37 |
| Dec 31, 2023 | 6.55 |
| Sep 30, 2023 | 5.58 |
| Jun 30, 2023 | 5.34 |
| Mar 31, 2023 | 8.61 |
| Dec 31, 2022 | 7.39 |
| Sep 30, 2022 | 14.42 |
| Jun 30, 2022 | 21.40 |
| Mar 31, 2022 | 12.04 |
| Dec 31, 2021 | 15.73 |
| Sep 30, 2021 | 11.74 |
| Jun 30, 2021 | 14.89 |
API Access
Immersion Price to Earnings 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=price-to-earnings&ticker=IMMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IMMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();