Great Elm Capital (GECC) Professional Fees (2017 - 2026)
Great Elm Capital (GECC) posted Professional Fees of $642,000 for Q3 2026, up 9.4% from $587,000 a year earlier and up 9.4% from the prior quarter.
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Analysis
Great Elm Capital (GECC) Professional Fees (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Great Elm Capital was $2.3 million, up 10.6% year-over-year; for FY2025, it was $2.02 million, up 11.4% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Great Elm Capital's Professional Fees was $1.82 million in FY2024 (+2.5%), $1.77 million in FY2023 (-9.9%), $1.97 million in FY2022 (+1.5%) and $1.94 million in FY2021 (+34.4%).
- The Q3 2026 figure stands as the highest quarterly Professional Fees since Q3 2022.
- On a year-over-year basis, Professional Fees has increased in each of the last three quarters, with growth averaging 21.6% over the last eight quarters.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2024, with growth of 59.5%; the weakest was Q3 2023, with a decline of 51.9%.
- According to Business Quant data, Professional Fees for the three prior quarters was $587,000 (Q2 2026), $514,000 (Q1 2026) and $553,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (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 | - | 300.00 Mn |
| 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 | - | 234.00 Mn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | -200,000.00 |
| 10 | Great Elm Capital | 69.59 Mn | 65.12 Mn | - | 642,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 642,000.00 |
| Jun 30, 2026 | 587,000.00 |
| Mar 31, 2026 | 514,000.00 |
| Dec 31, 2025 | 553,000.00 |
| Sep 30, 2025 | 587,000.00 |
| Jun 30, 2025 | 459,000.00 |
| Mar 31, 2025 | 424,000.00 |
| Dec 31, 2024 | 606,000.00 |
| Sep 30, 2024 | 409,000.00 |
| Jun 30, 2024 | 413,000.00 |
| Mar 31, 2024 | 388,000.00 |
| Dec 31, 2023 | 380,000.00 |
| Sep 30, 2023 | 422,000.00 |
| Jun 30, 2023 | 434,000.00 |
| Mar 31, 2023 | 536,000.00 |
| Dec 31, 2022 | 298,000.00 |
| Sep 30, 2022 | 878,000.00 |
| Jun 30, 2022 | 373,000.00 |
| Mar 31, 2022 | 418,000.00 |
| Dec 31, 2021 | 324,000.00 |
API Access
Great Elm Capital Professional Fees 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=professional-fees&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();