Great Elm Capital (GECC) Price to Earnings (2023 - 2025)
Great Elm Capital's (GECC) Price to Earnings came in at 7.03 for Q2 2025, down 35.8% from 10.96 a year earlier and down 73.3% from the prior quarter.
Powered by 
Analysis
Great Elm Capital (GECC) Price to Earnings (2023 - 2025) Analysis & Trends
For FY2024, Great Elm Capital's Price to Earnings stood at 35.71.
- In prior years, Great Elm Capital's Price to Earnings was 3.20 in FY2023.
- The Q2 2025 figure stands as the lowest quarterly Price to Earnings since Q1 2024.
- On a year-over-year basis, Price to Earnings increased in three of the last four quarters, with growth averaging 138.8%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 26.35 (Q1 2025), 35.71 (Q4 2024) and 18.01 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - |
| 10 | Great Elm Capital | 70.28 Mn | 64.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 7.03 |
| Mar 31, 2025 | 26.35 |
| Dec 31, 2024 | 35.71 |
| Sep 30, 2024 | 18.01 |
| Jun 30, 2024 | 10.96 |
| Mar 31, 2024 | 6.25 |
| Dec 31, 2023 | 3.20 |
| Sep 30, 2023 | 5.42 |
| Jun 30, 2023 | 7.97 |
API Access
Great Elm Capital Price to Earnings 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=price-to-earnings&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();