Great Elm (GEG) Total Non-Current Liabilities (2020 - 2026)
Great Elm (GEG) posted Total Non-Current Liabilities of $71.78 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.1% from $71.85 million a year earlier but up 1.8% from the prior quarter.
Great Elm (GEG) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Great Elm has reported Total Non-Current Liabilities for 24 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -7.9% (FY2021 to FY2026).
- In prior fiscal years, Great Elm's Total Non-Current Liabilities was $71.85 million in FY2025 (+3.5%), $69.41 million in FY2024 (-2.8%), $71.38 million in FY2023 (-43.9%) and $127.15 million in FY2022 (+17.5%).
- Quarterly Total Non-Current Liabilities has run from a low of $64.96 million in fiscal Q1 2025 to a high of $127.15 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2023, with growth of 19.0%; the weakest was fiscal Q1 2024, with a decline of 45.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $70.52 million (Q3 2026), $74.81 million (Q2 2026) and $70.61 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 52.77 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 25.35 Bn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 7.37 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 333.26 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 10.41 Bn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 433.59 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 2.19 Bn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 673.40 Mn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 71.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.78 Mn |
| Mar 31, 2026 | 70.52 Mn |
| Dec 31, 2025 | 74.81 Mn |
| Sep 30, 2025 | 70.61 Mn |
| Jun 30, 2025 | 71.85 Mn |
| Mar 31, 2025 | 70.99 Mn |
| Dec 31, 2024 | 67.61 Mn |
| Sep 30, 2024 | 64.96 Mn |
| Jun 30, 2024 | 69.41 Mn |
| Mar 31, 2024 | 75.20 Mn |
| Dec 31, 2023 | 71.01 Mn |
| Sep 30, 2023 | 68.37 Mn |
| Jun 30, 2023 | 71.38 Mn |
| Mar 31, 2023 | 68.23 Mn |
| Dec 31, 2022 | 110.04 Mn |
| Sep 30, 2022 | 126.27 Mn |
| Jun 30, 2022 | 127.15 Mn |
| Mar 31, 2022 | 92.39 Mn |
| Dec 31, 2021 | 106.09 Mn |
| Sep 30, 2021 | 106.07 Mn |
Great Elm 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=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GEG", "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=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();