Great Elm (GEG) Return on Sales [ROS] (2019 - 2026)
Great Elm's Return on Sales [ROS] came in at -19.71% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.59 percentage points from -26.30% a year earlier and up 96.44 percentage points from the prior quarter.
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Analysis
Great Elm (GEG) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Great Elm's Return on Sales [ROS] was -50.44%, down 1.39 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -44.30 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -49.05% in FY2025 (-5.10 pp), -43.95% in FY2024 (+85.46 pp), -129.41% in FY2023 (+64.14 pp) and -193.56% in FY2022 (-187.42 pp).
- The fiscal Q4 2026 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q1 2022.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -10.50 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2023 (a gain of 103.04 percentage points), and the weakest in fiscal Q2 2022 (a drop of 238.87 percentage points).
- Business Quant data shows GEG's Return on Sales [ROS] at -116.15% (Q3 2026), -140.58% (Q2 2026) and -34.54% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 34.74% |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 58.55% |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | -53.96% |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 36.27% |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 79.12% |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 16.30% |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 71.79% |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 76.73% |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - | -19.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.71% |
| Mar 31, 2026 | -116.15% |
| Dec 31, 2025 | -140.58% |
| Sep 30, 2025 | -34.54% |
| Jun 30, 2025 | -26.30% |
| Mar 31, 2025 | -79.62% |
| Dec 31, 2024 | -56.37% |
| Sep 30, 2024 | -50.00% |
| Jun 30, 2024 | -20.44% |
| Mar 31, 2024 | -67.06% |
| Dec 31, 2023 | -95.64% |
| Sep 30, 2023 | -43.81% |
| Jun 30, 2023 | -118.90% |
| Mar 31, 2023 | -151.16% |
| Dec 31, 2022 | -148.38% |
| Sep 30, 2022 | -105.16% |
| Jun 30, 2022 | -125.92% |
| Mar 31, 2022 | -234.51% |
| Dec 31, 2021 | -251.42% |
| Sep 30, 2021 | 6.05% |
API Access
Great Elm Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();