Egain (EGAN) Price to Earnings (2011 - 2025)
Egain's Price to Earnings came in at 18.58 for FY2026 (year ended Jun 30, 2026), up 254.0% from 5.25 in FY2025.
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Analysis
Egain (EGAN) Price to Earnings (2011 - 2025) Analysis & Trends
Going back to FY2011, Egain's Price to Earnings data covers 9 fiscal years.
- The five-year range for annual Price to Earnings is 5.25 (FY2025) to 111.81 (FY2023).
- Per Business Quant, earlier fiscal years put Price to Earnings at 5.25 in FY2025 (-77.8%), 23.65 in FY2024 (-78.8%) and 111.81 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Egain | 153.62 Mn | -136.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.81 |
| Sep 30, 2025 | 6.81 |
| Jun 30, 2025 | 5.25 |
| Mar 31, 2025 | 46.23 |
| Dec 31, 2024 | 41.05 |
| Sep 30, 2024 | 24.92 |
| Jun 30, 2024 | 23.65 |
| Mar 31, 2024 | 22.08 |
| Dec 31, 2023 | 37.08 |
| Sep 30, 2023 | 40.77 |
| Jun 30, 2023 | 111.81 |
| Mar 31, 2022 | 318.21 |
| Dec 31, 2021 | 103.59 |
| Sep 30, 2021 | 58.57 |
| Jun 30, 2021 | 51.52 |
| Mar 31, 2021 | 41.78 |
| Dec 31, 2020 | 47.82 |
| Sep 30, 2020 | 54.54 |
| Jun 30, 2020 | 47.51 |
| Mar 31, 2020 | 43.07 |
API Access
Egain 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=EGAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "EGAN", "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=EGAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();