Great Elm (GEG) Total Current Liabilities (2020 - 2026)
Great Elm (GEG) reported Total Current Liabilities of $7.73 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 19.6% from $9.61 million a year earlier but up 4.8% from the prior quarter.
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Analysis
Great Elm (GEG) Total Current Liabilities (2020 - 2026) Analysis & Trends
Dating back to fiscal Q4 2020, Great Elm's Total Current Liabilities record includes 24 quarters.
- Total Current Liabilities has a five-year compound annual growth rate of -25.2% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $9.61 million in FY2025 (+15.0%), $8.36 million in FY2024 (+13.3%), $7.38 million in FY2023 (-62.5%) and $19.69 million in FY2022 (-40.3%).
- Five-year quarterly Total Current Liabilities spans a low of $3.84 million in fiscal Q1 2025 and a high of $44.45 million in fiscal Q2 2023.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with growth averaging 24.6%.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2026 (growth of 184.7%); the low point was fiscal Q2 2024 (a decline of 84.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $7.38 million (Q3 2026), $11.68 million (Q2 2026) and $8.37 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | - |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | - |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | - |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | - |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 279.31 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 148.00 Mn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | 7.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.73 Mn |
| Mar 31, 2026 | 7.38 Mn |
| Dec 31, 2025 | 11.68 Mn |
| Sep 30, 2025 | 8.37 Mn |
| Jun 30, 2025 | 9.61 Mn |
| Mar 31, 2025 | 7.47 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 3.84 Mn |
| Jun 30, 2024 | 8.36 Mn |
| Mar 31, 2024 | 10.99 Mn |
| Dec 31, 2023 | 6.88 Mn |
| Sep 30, 2023 | 5.28 Mn |
| Jun 30, 2023 | 7.38 Mn |
| Mar 31, 2023 | 5.63 Mn |
| Dec 31, 2022 | 44.45 Mn |
| Sep 30, 2022 | 24.73 Mn |
| Jun 30, 2022 | 19.69 Mn |
| Mar 31, 2022 | 17.57 Mn |
| Dec 31, 2021 | 30.22 Mn |
| Sep 30, 2021 | 30.96 Mn |
API Access
Great Elm Total 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-current-liabilities&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();