Great Elm (GEG) Operating Margin (2019 - 2026)
Great Elm's Operating Margin was -19.71% in 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.
Great Elm (GEG) Operating Margin (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Margin at Great Elm came in at -50.44%, down 1.39 percentage points from FY2025.
- Operating Margin shows a five-year change of -44.30 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin 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 marks the highest quarterly Operating Margin since fiscal Q1 2022.
- Compared with a year earlier, Operating Margin was higher in three of the last eight quarters, with an average year-over-year change of -10.50 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2023 (a gain of 103.04 percentage points); the worst was fiscal Q2 2022 (a drop of 238.87 percentage points).
- Per Business Quant data, GEG's Operating Margin in the three fiscal quarters before Q4 2026 was -116.15% (Q3 2026), -140.58% (Q2 2026) and -34.54% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 177.01 Bn | 123.14 Bn | - | 34.74% |
| 2 | Spdr Gold Trust | 133.53 Bn | -424.47 Bn | - | - |
| 3 | Blackstone | 94.79 Bn | 84.77 Bn | - | - |
| 4 | Brookfield | 85.96 Bn | -97.35 Bn | - | - |
| 5 | Kkr | 83.11 Bn | 3.26 Bn | - | - |
| 6 | Brookfield Asset Management | 76.09 Bn | 70.90 Bn | - | - |
| 7 | Apollo Global Management | 67.68 Bn | -15.12 Bn | 10.56 Bn | 16.30% |
| 8 | Wheaton Precious Metals | 56.31 Bn | 51.74 Bn | 687.86 Mn | - |
| 9 | Ameriprise Financial | 45.50 Bn | 6.91 Bn | 4.72 Bn | 24.36% |
| 10 | Great Elm | 65.12 Mn | -138.58 Mn | - | -19.71% |
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% |
Great Elm Operating Margin 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=operating-margin&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();