Great Elm Capital (GECC) Interest Expense (2017 - 2026)
Great Elm Capital (GECC) posted Interest Expenses of $3.69 million for Q3 2026, down 32.7% from $5.49 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Great Elm Capital (GECC) Interest Expense (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Interest Expenses at Great Elm Capital was $16.17 million, down 12.4% year-over-year; for FY2025, it came in at $18.41 million, up 23.7% from FY2024.
- Annual Interest Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In prior years, Great Elm Capital's Interest Expenses was $14.88 million in FY2024 (+26.7%), $11.74 million in FY2023 (+9.8%), $10.69 million in FY2022 (+2.5%) and $10.43 million in FY2021 (+14.3%).
- The Q3 2026 figure stands as the lowest quarterly Interest Expenses since Q2 2024.
- On a year-over-year basis, Interest Expenses increased in five of the last eight quarters, with growth averaging 14.8%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2024, with growth of 56.4%; the weakest was Q3 2026, with a decline of 32.7%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $3.87 million (Q2 2026), $4.26 million (Q1 2026) and $4.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | - |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | - |
| 10 | Great Elm Capital | 69.59 Mn | 65.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.69 Mn |
| Jun 30, 2026 | 3.87 Mn |
| Mar 31, 2026 | 4.26 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 5.49 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 4.25 Mn |
| Dec 31, 2024 | 4.39 Mn |
| Sep 30, 2024 | 4.21 Mn |
| Jun 30, 2024 | 3.47 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 2.68 Mn |
| Sep 30, 2022 | 2.67 Mn |
| Jun 30, 2022 | 2.67 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 2.79 Mn |
API Access
Great Elm Capital Interest Expense 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-expense&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "ticker": "GECC", "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-expense&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();