Great Elm Capital (GECC) Operating Expenses (2021 - 2026)
Great Elm Capital's Operating Expenses came in at $6.31 million for Q2 2026, down 24.0% from $8.31 million a year earlier but up 41.2% from the prior quarter.
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Analysis
Great Elm Capital (GECC) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Great Elm Capital reported Operating Expenses of $26.71 million, down 12.3% year-over-year; for FY2025, it was $32.09 million, up 21.0% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $26.52 million in FY2024 (+15.3%), $23 million in FY2023 (+23.8%), $18.57 million in FY2022 (+43.7%) and $12.92 million in FY2021 (-17.9%).
- The five-year range for quarterly Operating Expenses is -$800,000 (Q4 2021) to $8.31 million (Q2 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2025 (growth of 37.5%), and the weakest in Q1 2026 (a decline of 43.1%).
- Business Quant data shows GECC's Operating Expenses at $4.47 million (Q1 2026), $7.96 million (Q4 2025) and $7.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Great Elm Capital | 73.34 Mn | 67.60 Mn | - | 6.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.31 Mn |
| Mar 31, 2026 | 4.47 Mn |
| Dec 31, 2025 | 7.96 Mn |
| Sep 30, 2025 | 7.97 Mn |
| Jun 30, 2025 | 8.31 Mn |
| Mar 31, 2025 | 7.85 Mn |
| Dec 31, 2024 | 6.74 Mn |
| Sep 30, 2024 | 7.58 Mn |
| Jun 30, 2024 | 6.49 Mn |
| Mar 31, 2024 | 5.71 Mn |
| Dec 31, 2023 | 5.66 Mn |
| Sep 30, 2023 | 6.19 Mn |
| Jun 30, 2023 | 5.61 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 4.33 Mn |
| Mar 31, 2022 | 4.36 Mn |
| Dec 31, 2021 | -800,000.00 |
| Sep 30, 2021 | 5.80 Mn |
API Access
Great Elm Capital Operating 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=operating-expenses&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();