Great Elm (GEG) Price to Earnings (2022 - 2025)
Great Elm's (GEG) Price to Earnings stood at 24.40 in fiscal Q1 2026 (quarter ended Sep 30, 2025), up 472.2% from the prior quarter.
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Great Elm (GEG) Price to Earnings (2022 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Great Elm's Price to Earnings came in at 4.26.
- Across earlier fiscal years, Price to Earnings came in at 2.18 in FY2023.
- Quarterly Price to Earnings has ranged from 1.65 in fiscal Q1 2024 to 16380.52 in fiscal Q2 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 24.40 |
| Jun 30, 2025 | 4.26 |
| Dec 31, 2024 | 16,380.52 |
| Dec 31, 2023 | 6.54 |
| Sep 30, 2023 | 1.65 |
| Jun 30, 2023 | 2.18 |
| Mar 31, 2023 | 2.33 |
| Dec 31, 2022 | 5.43 |
API Access
Great Elm 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=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GEG", "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=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();