Great Elm (GEG) Current Assets (2020 - 2026)
Great Elm's Current Assets was $99.63 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 27.7% from $137.9 million a year earlier but up 2.5% from the prior quarter.
Great Elm (GEG) Current Assets (2020 - 2026) Analysis & Trends
From fiscal Q4 2020 onward, Great Elm has reported Current Assets for 24 quarters.
- Current Assets shows a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- In earlier fiscal years, Current Assets was $137.9 million in FY2025 (+8.1%), $127.57 million in FY2024 (+3.6%), $123.14 million in FY2023 (+45.8%) and $84.44 million in FY2022 (-4.6%).
- Quarterly Current Assets has moved between $65.59 million (fiscal Q3 2022) and $156.17 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Current Assets has declined for three straight quarters, with an average decline of 6.1% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was fiscal Q3 2023 (growth of 89.5%); the worst was fiscal Q4 2026 (a decline of 27.7%).
- Per Business Quant data, GEG's Current Assets in the three fiscal quarters before Q4 2026 was $97.22 million (Q3 2026), $120.5 million (Q2 2026) and $139.59 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (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 | 130.16 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 1.39 Bn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 99.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.63 Mn |
| Mar 31, 2026 | 97.22 Mn |
| Dec 31, 2025 | 120.50 Mn |
| Sep 30, 2025 | 139.59 Mn |
| Jun 30, 2025 | 137.90 Mn |
| Mar 31, 2025 | 121.06 Mn |
| Dec 31, 2024 | 124.42 Mn |
| Sep 30, 2024 | 124.67 Mn |
| Jun 30, 2024 | 127.57 Mn |
| Mar 31, 2024 | 136.67 Mn |
| Dec 31, 2023 | 134.28 Mn |
| Sep 30, 2023 | 123.85 Mn |
| Jun 30, 2023 | 123.14 Mn |
| Mar 31, 2023 | 124.27 Mn |
| Dec 31, 2022 | 156.17 Mn |
| Sep 30, 2022 | 74.73 Mn |
| Jun 30, 2022 | 84.44 Mn |
| Mar 31, 2022 | 65.59 Mn |
| Dec 31, 2021 | 82.94 Mn |
| Sep 30, 2021 | 86.59 Mn |
Great Elm Current 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=current-assets&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();