Great Elm (GEG) Non-Current Assets (2020 - 2026)
Great Elm (GEG) posted Non-Current Assets of $14.05 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 12.4% from $16.04 million a year earlier and down 3.5% from the prior quarter.
Powered by 
Analysis
Great Elm (GEG) Non-Current Assets (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Great Elm has reported Non-Current Assets for 24 quarters.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -28.1% (FY2021 to FY2026).
- In prior fiscal years, Great Elm's Non-Current Assets was $16.04 million in FY2025 (+24.6%), $12.88 million in FY2024 (+0.9%), $12.76 million in FY2023 (-84.8%) and $83.65 million in FY2022 (+14.1%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Non-Current Assets since fiscal Q1 2025.
- On a year-over-year basis, Non-Current Assets increased in six of the last eight quarters, with growth averaging 11.1%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q3 2025, with growth of 38.1%; the weakest was fiscal Q1 2024, with a decline of 85.2%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $14.56 million (Q3 2026), $14.99 million (Q2 2026) and $15.42 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-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 | 12.03 Bn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 7.53 Bn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 14.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.05 Mn |
| Mar 31, 2026 | 14.56 Mn |
| Dec 31, 2025 | 14.99 Mn |
| Sep 30, 2025 | 15.42 Mn |
| Jun 30, 2025 | 16.04 Mn |
| Mar 31, 2025 | 16.13 Mn |
| Dec 31, 2024 | 14.06 Mn |
| Sep 30, 2024 | 12.60 Mn |
| Jun 30, 2024 | 12.88 Mn |
| Mar 31, 2024 | 11.68 Mn |
| Dec 31, 2023 | 11.94 Mn |
| Sep 30, 2023 | 12.39 Mn |
| Jun 30, 2023 | 12.76 Mn |
| Mar 31, 2023 | 13.11 Mn |
| Dec 31, 2022 | 13.52 Mn |
| Sep 30, 2022 | 83.55 Mn |
| Jun 30, 2022 | 83.65 Mn |
| Mar 31, 2022 | 71.88 Mn |
| Dec 31, 2021 | 73.20 Mn |
| Sep 30, 2021 | 74.53 Mn |
API Access
Great Elm Non-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=non-current-assets&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();