Great Elm (GEG) Assets (2020 - 2026)
Great Elm (GEG) reported Assets of $113.68 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 26.1% from $153.94 million a year earlier but up 1.7% from the prior quarter.
Great Elm (GEG) Assets (2020 - 2026) Analysis & Trends
Dating back to fiscal Q4 2020, Great Elm's Assets record includes 24 quarters.
- Assets has a five-year compound annual growth rate of -6.8% (FY2021 to FY2026).
- By fiscal year, Assets came in at $153.94 million in FY2025 (+9.6%), $140.45 million in FY2024 (+3.4%), $135.89 million in FY2023 (-19.2%) and $168.09 million in FY2022 (+3.8%).
- Five-year quarterly Assets spans a low of $111.78 million in fiscal Q3 2026 and a high of $169.69 million in fiscal Q2 2023.
- Year over year, Assets has now declined in each of the last three quarters, with an average decline of 4.5% over the last eight quarters.
- The high point for year-over-year Assets in five years was fiscal Q1 2026 (growth of 12.9%); the low point was fiscal Q3 2022 (a decline of 36.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $111.78 million (Q3 2026), $135.49 million (Q2 2026) and $155.01 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 175.88 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | 130.10 Bn |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 49.89 Bn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 15.39 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 414.46 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 20.08 Bn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 494.05 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 12.16 Bn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 8.92 Bn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 113.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.68 Mn |
| Mar 31, 2026 | 111.78 Mn |
| Dec 31, 2025 | 135.49 Mn |
| Sep 30, 2025 | 155.01 Mn |
| Jun 30, 2025 | 153.94 Mn |
| Mar 31, 2025 | 137.19 Mn |
| Dec 31, 2024 | 138.49 Mn |
| Sep 30, 2024 | 137.27 Mn |
| Jun 30, 2024 | 140.45 Mn |
| Mar 31, 2024 | 148.35 Mn |
| Dec 31, 2023 | 146.22 Mn |
| Sep 30, 2023 | 136.24 Mn |
| Jun 30, 2023 | 135.89 Mn |
| Mar 31, 2023 | 137.38 Mn |
| Dec 31, 2022 | 169.69 Mn |
| Sep 30, 2022 | 158.28 Mn |
| Jun 30, 2022 | 168.09 Mn |
| Mar 31, 2022 | 137.47 Mn |
| Dec 31, 2021 | 156.14 Mn |
| Sep 30, 2021 | 161.12 Mn |
Great Elm Assets 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=assets&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();