Great Elm Capital (GECC) Total Non-Current Liabilities (2022 - 2026)
Great Elm Capital's Total Non-Current Liabilities came in at $168.16 million for Q2 2026, down 37.2% from $267.79 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Great Elm Capital (GECC) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Great Elm Capital's Total Non-Current Liabilities was $28.33 million, down 14.3% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a three-year compound annual growth rate of -49.8% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $33.06 million in FY2024 (-4.1%), $34.45 million in FY2023 (-84.6%) and $224.26 million in FY2022.
- The five-year range for quarterly Total Non-Current Liabilities is $28.33 million (Q4 2025) to $299.76 million (Q3 2024).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 162.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2025 (growth of 703.5%), and the weakest in Q4 2023 (a decline of 84.6%).
- Business Quant data shows GECC's Total Non-Current Liabilities at $173.8 million (Q1 2026), $28.33 million (Q4 2025) and $278.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.51 Bn |
| 10 | Great Elm Capital | 73.34 Mn | 67.60 Mn | - | 168.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.16 Mn |
| Mar 31, 2026 | 173.80 Mn |
| Dec 31, 2025 | 28.33 Mn |
| Sep 30, 2025 | 278.38 Mn |
| Jun 30, 2025 | 267.79 Mn |
| Mar 31, 2025 | 216.97 Mn |
| Dec 31, 2024 | 33.06 Mn |
| Sep 30, 2024 | 299.76 Mn |
| Jun 30, 2024 | 33.33 Mn |
| Mar 31, 2024 | 32.22 Mn |
| Dec 31, 2023 | 34.45 Mn |
| Sep 30, 2023 | 147.18 Mn |
| Dec 31, 2022 | 224.26 Mn |
API Access
Great Elm Capital Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GECC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GECC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();