Great Elm Capital (GECC) Distributions Payable (2016 - 2024)
Great Elm Capital (GECC) recorded Dividends payables of $577,000 in Q4 2024, down 24.1% from $760,000 a year earlier.
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Analysis
Great Elm Capital (GECC) Distributions Payable (2016 - 2024) Analysis & Trends
- Across earlier years, Dividends payables came in at $760,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Dec 31, 2024 | 577,000.00 |
| Dec 31, 2023 | 760,000.00 |
| Jun 30, 2022 | -1.05 |
| Mar 31, 2022 | -0.60 |
| Dec 31, 2021 | -2,400.00 |
| Sep 30, 2021 | -3.00 Mn |
| Jun 30, 2021 | -1.20 |
| Mar 31, 2021 | -0.60 |
| Dec 31, 2020 | 1.91 Mn |
| Sep 30, 2020 | -7.50 Mn |
| Jun 30, 2020 | -5.00 Mn |
| Mar 31, 2020 | -2.51 Mn |
| Dec 31, 2019 | -6,300.00 |
| Sep 30, 2019 | -7.67 Mn |
| Jun 30, 2019 | -5.17 Mn |
| Mar 31, 2019 | 868,000.00 |
| Dec 31, 2018 | -7,420.00 |
| Sep 30, 2018 | 884,000.00 |
| Jun 30, 2018 | 884,000.00 |
| Mar 31, 2018 | 884,000.00 |
API Access
Great Elm Capital Distributions Payable 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=distributions-payable&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "distributions-payable", "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=distributions-payable&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();