Great Elm (GEG) Cash & Equivalents (2020 - 2026)
Great Elm (GEG) posted Cash & Equivalents of $53.47 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 74.7% from $30.6 million a year earlier and up 17.5% from the prior quarter.
Great Elm (GEG) Cash & Equivalents (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Great Elm has reported Cash & Equivalents for 24 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 17.0% (FY2021 to FY2026).
- In prior fiscal years, Great Elm's Cash & Equivalents was $30.6 million in FY2025 (-36.4%), $48.15 million in FY2024 (-20.0%), $60.17 million in FY2023 (+170.0%) and $22.28 million in FY2022 (-8.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q4 2023.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2023, with growth of 269.8%; the weakest was fiscal Q3 2024, with a decline of 47.6%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $45.53 million (Q3 2026), $51.23 million (Q2 2026) and $53.47 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 10.49 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.51 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 760.00 Mn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 21.08 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 1.50 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 26.82 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 100.19 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 1.01 Bn |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - | 53.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.47 Mn |
| Mar 31, 2026 | 45.53 Mn |
| Dec 31, 2025 | 51.23 Mn |
| Sep 30, 2025 | 53.47 Mn |
| Jun 30, 2025 | 30.60 Mn |
| Mar 31, 2025 | 31.53 Mn |
| Dec 31, 2024 | 44.29 Mn |
| Sep 30, 2024 | 44.15 Mn |
| Jun 30, 2024 | 48.15 Mn |
| Mar 31, 2024 | 44.09 Mn |
| Dec 31, 2023 | 39.07 Mn |
| Sep 30, 2023 | 41.08 Mn |
| Jun 30, 2023 | 60.17 Mn |
| Mar 31, 2023 | 84.12 Mn |
| Dec 31, 2022 | 18.97 Mn |
| Sep 30, 2022 | 23.27 Mn |
| Jun 30, 2022 | 22.28 Mn |
| Mar 31, 2022 | 22.75 Mn |
| Dec 31, 2021 | 24.96 Mn |
| Sep 30, 2021 | 21.79 Mn |
Great Elm Cash & Equivalents 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=cash-and-equivalents&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();