Great Elm (GEG) Receivables (2020 - 2026)
Great Elm (GEG) posted Receivables of $5.41 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 56.8% from $12.52 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Great Elm (GEG) Receivables (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Great Elm has reported Receivables for 22 quarters.
- Annual Receivables shows a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- In prior fiscal years, Great Elm's Receivables was $12.52 million in FY2025 (+217.6%), $3.94 million in FY2024 (-28.0%), $5.48 million in FY2023 (-34.1%) and $8.31 million in FY2022 (+1.6%).
- Quarterly Receivables has run from a low of $3.94 million in fiscal Q4 2024 to a high of $12.52 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 22.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2025, with growth of 217.6%; the weakest was fiscal Q4 2026, with a decline of 56.8%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $5.57 million (Q3 2026), $5.14 million (Q2 2026) and $7.01 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 177.16 Bn | 123.29 Bn | - | 5.97 Bn |
| 2 | Spdr Gold Trust | 133.86 Bn | -424.14 Bn | - | - |
| 3 | Blackstone | 93.38 Bn | 83.36 Bn | - | 6.91 Bn |
| 4 | Brookfield | 85.41 Bn | -97.90 Bn | - | -25.75 Bn |
| 5 | Kkr | 82.55 Bn | 2.69 Bn | - | - |
| 6 | Brookfield Asset Management | 75.37 Bn | 70.18 Bn | - | - |
| 7 | Apollo Global Management | 67.34 Bn | -15.45 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 56.04 Bn | 51.47 Bn | 687.86 Mn | 26.06 Mn |
| 9 | Ameriprise Financial | 45.67 Bn | 7.09 Bn | 4.72 Bn | 16.03 Bn |
| 10 | Great Elm | 65.12 Mn | -138.58 Mn | - | 5.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.41 Mn |
| Mar 31, 2026 | 5.57 Mn |
| Dec 31, 2025 | 5.14 Mn |
| Sep 30, 2025 | 7.01 Mn |
| Jun 30, 2025 | 12.52 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 6.74 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 6.62 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Sep 30, 2023 | 6.85 Mn |
| Jun 30, 2023 | 5.48 Mn |
| Sep 30, 2022 | 8.43 Mn |
| Jun 30, 2022 | 8.31 Mn |
| Mar 31, 2022 | 7.68 Mn |
| Dec 31, 2021 | 6.62 Mn |
| Sep 30, 2021 | 7.44 Mn |
| Jun 30, 2021 | 7.45 Mn |
| Mar 31, 2021 | 8.65 Mn |
API Access
Great Elm Receivables 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=receivables&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();