Great Elm (GEG) Interest Expenses (2019 - 2026)
Great Elm's Interest Expenses was $1.02 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.5% from $1.06 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Great Elm (GEG) Interest Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Interest Expenses at Great Elm came in at $4.11 million, down 1.2% from FY2025.
- Interest Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $4.16 million in FY2025 (-4.1%), $4.33 million in FY2024 (-28.6%), $6.07 million in FY2023 (+9.5%) and $5.55 million in FY2022 (+12.1%).
- Quarterly Interest Expenses has moved between $1.02 million (fiscal Q2 2026) and $1.97 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Interest Expenses has declined for three straight quarters, with an average decline of 2.6% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q2 2023 (growth of 51.2%); the worst was fiscal Q1 2024 (a decline of 46.2%).
- Per Business Quant data, GEG's Interest Expenses in the three fiscal quarters before Q4 2026 was $1.03 million (Q3 2026), $1.02 million (Q2 2026) and $1.03 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 134.00 Mn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 145.02 Mn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | -295.00 Mn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 702.75 Mn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 53.00 Mn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 88.00 Mn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 31.10 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | -700,000.00 |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 1.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 1.03 Mn |
| Jun 30, 2024 | 1.14 Mn |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.96 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.36 Mn |
API Access
Great Elm Interest 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=interest-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();