Great Elm (GEG) EPS (Diluted) (2019 - 2026)
Great Elm (GEG) posted EPS (Diluted) of $0.04 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 90.0% from $0.35 a year earlier.
Analysis
Great Elm (GEG) EPS (Diluted) (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Great Elm's EPS (Diluted) came in at -$1.17.
- In prior fiscal years, Great Elm's EPS (Diluted) was $0.33 in FY2025, -$0.05 in FY2024, $0.68 in FY2023 and -$0.56 in FY2022.
- Quarterly EPS (Diluted) has run from a low of -$0.50 in fiscal Q2 2026 to a high of $0.73 in fiscal Q2 2023 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was -$0.45 (Q3 2026), -$0.50 (Q2 2026) and -$0.24 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 11.62 |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 1.54 |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 0.00 |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 0.70 |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 0.56 |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 2.19 |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 1.19 |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 1.83 |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.04 |
| Mar 31, 2026 | -0.45 |
| Dec 31, 2025 | -0.50 |
| Sep 30, 2025 | -0.24 |
| Jun 30, 2025 | 0.35 |
| Mar 31, 2025 | -0.17 |
| Dec 31, 2024 | 0.04 |
| Sep 30, 2024 | 0.07 |
| Jun 30, 2024 | -0.02 |
| Mar 31, 2024 | -0.10 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | 0.07 |
| Jun 30, 2023 | -0.13 |
| Mar 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.73 |
| Sep 30, 2022 | -0.29 |
| Jun 30, 2022 | -0.17 |
| Mar 31, 2022 | -0.22 |
| Dec 31, 2021 | -0.16 |
| Sep 30, 2021 | -0.01 |
API Access
Great Elm EPS (Diluted) 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=eps-diluted&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();