Great Elm (GEG) Enterprise Value (2019 - 2026)
Great Elm (GEG) reported Enterprise Value of $11.44 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 67.0% from $34.71 million a year earlier but up 9.8% from the prior quarter.
Great Elm (GEG) Enterprise Value (2019 - 2026) Analysis & Trends
Dating back to fiscal Q1 2020, Great Elm's Enterprise Value record includes 28 quarters.
- Enterprise Value has a five-year compound annual growth rate of -20.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $34.71 million in FY2025 (+144.0%), $14.22 million in FY2024, $405,641 in FY2023 (-99.0%) and $41.24 million in FY2022 (+12.5%).
- Five-year quarterly Enterprise Value spans a low of -$17.96 million in fiscal Q3 2023 and a high of $42.54 million in fiscal Q2 2023.
- Year over year, Enterprise Value gained in four of the last eight quarters, with growth averaging 26.7%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q2 2026 (growth of 155.8%); the low point was fiscal Q4 2023 (a decline of 99.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $10.42 million (Q3 2026), $32.17 million (Q2 2026) and $34.5 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.44 Mn |
| Mar 31, 2026 | 10.42 Mn |
| Dec 31, 2025 | 32.17 Mn |
| Sep 30, 2025 | 34.50 Mn |
| Jun 30, 2025 | 34.71 Mn |
| Mar 31, 2025 | 27.00 Mn |
| Dec 31, 2024 | 12.58 Mn |
| Sep 30, 2024 | 18.43 Mn |
| Jun 30, 2024 | 14.22 Mn |
| Mar 31, 2024 | 21.30 Mn |
| Dec 31, 2023 | 26.24 Mn |
| Sep 30, 2023 | 22.84 Mn |
| Jun 30, 2023 | 405,641.34 |
| Mar 31, 2023 | -17.96 Mn |
| Dec 31, 2022 | 42.54 Mn |
| Sep 30, 2022 | 37.17 Mn |
| Jun 30, 2022 | 41.24 Mn |
| Mar 31, 2022 | 28.32 Mn |
| Dec 31, 2021 | 34.04 Mn |
| Sep 30, 2021 | 39.50 Mn |
Great Elm Enterprise Value 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=enterprise-value&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();