Great Elm (GEG) Accumulated Expenses (2020 - 2026)
Great Elm (GEG) posted Accumulated Expenses of $5.93 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 23.0% from $7.71 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Great Elm (GEG) Accumulated Expenses (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Great Elm has reported Accumulated Expenses for 24 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- In prior fiscal years, Great Elm's Accumulated Expenses was $7.71 million in FY2025 (+10.0%), $7.01 million in FY2024 (+29.4%), $5.42 million in FY2023 (+40.9%) and $3.85 million in FY2022 (-44.7%).
- Quarterly Accumulated Expenses has run from a low of $1.74 million in fiscal Q2 2023 to a high of $7.71 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 23.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2024, with growth of 150.0%; the weakest was fiscal Q2 2023, with a decline of 70.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $5.98 million (Q3 2026), $6.3 million (Q2 2026) and $5.89 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 165.06 Bn | 111.42 Bn | - |
| 2 | Spdr Gold Trust | 134.74 Bn | -423.26 Bn | - |
| 3 | Blackstone | 84.49 Bn | 79.41 Bn | - |
| 4 | Brookfield | 82.12 Bn | -83.26 Bn | 4.47 Bn |
| 5 | Kkr | 81.93 Bn | 48.41 Bn | - |
| 6 | Brookfield Asset Management | 71.19 Bn | 67.44 Bn | - |
| 7 | Apollo Global Management | 65.87 Bn | 3.55 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 60.57 Bn | 55.99 Bn | 687.86 Mn |
| 9 | Franco Nevada | 45.46 Bn | 42.82 Bn | 451.00 Mn |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.93 Mn |
| Mar 31, 2026 | 5.98 Mn |
| Dec 31, 2025 | 6.30 Mn |
| Sep 30, 2025 | 5.89 Mn |
| Jun 30, 2025 | 7.71 Mn |
| Mar 31, 2025 | 4.46 Mn |
| Dec 31, 2024 | 2.82 Mn |
| Sep 30, 2024 | 3.12 Mn |
| Jun 30, 2024 | 7.01 Mn |
| Mar 31, 2024 | 4.28 Mn |
| Dec 31, 2023 | 4.36 Mn |
| Sep 30, 2023 | 3.51 Mn |
| Jun 30, 2023 | 5.42 Mn |
| Mar 31, 2023 | 4.12 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 5.81 Mn |
| Jun 30, 2022 | 3.85 Mn |
| Mar 31, 2022 | 6.04 Mn |
| Dec 31, 2021 | 5.84 Mn |
| Sep 30, 2021 | 5.53 Mn |
API Access
Great Elm Accumulated Expenses 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=accumulated-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();