Great Elm (GEG) Other Accumulated Expenses (2022 - 2026)
Great Elm's Other Accumulated Expenses was $1.4 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 180.2% from $500,000 a year earlier.
Analysis
Great Elm (GEG) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
From fiscal Q4 2022 onward, Great Elm has reported Other Accumulated Expenses for 8 quarters.
- Other Accumulated Expenses has now increased for three consecutive fiscal years, with a four-year compound annual growth rate of 13.2% (FY2022 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $500,000 in FY2025 (+38.1%), $362,000 in FY2024 (+341.5%), $82,000 in FY2023 (-90.4%) and $854,000 in FY2022.
- The fiscal Q4 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Mn |
| Jun 30, 2025 | 500,000.00 |
| Jun 30, 2024 | 362,000.00 |
| Jun 30, 2023 | 82,000.00 |
| Mar 31, 2023 | 855,000.00 |
| Dec 31, 2022 | 888,000.00 |
| Sep 30, 2022 | 73,000.00 |
| Jun 30, 2022 | 854,000.00 |
API Access
Great Elm Other 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=other-accumulated-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();