Great Elm (GEG) Non Operating Income (2019 - 2022)
Great Elm (GEG) recorded Non Operating Income of -$7.36 million in fiscal Q1 2023 (quarter ended Sep 30, 2022), compared with -$896,000 a year earlier.
Great Elm (GEG) Non Operating Income (2019 - 2022) Analysis & Trends
On a TTM basis, Great Elm's Non Operating Income came in at -$17.37 million as of Sep 30, 2022; for FY2022 (ended Jun 30, 2022), it was -$10.91 million.
- Across earlier fiscal years, Non Operating Income came in at -$3.11 million in FY2021 and -$11.13 million in FY2020.
- The fiscal Q1 2023 figure is the lowest quarterly Non Operating Income since fiscal Q3 2020.
- Per Business Quant, the preceding three fiscal quarters came in at -$3.44 million (Q4 2022), -$4.22 million (Q3 2022) and -$2.36 million (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 258.00 Mn |
| 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 | 73.00 Mn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | - |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -7.36 Mn |
| Jun 30, 2022 | -3.44 Mn |
| Mar 31, 2022 | -4.22 Mn |
| Dec 31, 2021 | -2.36 Mn |
| Sep 30, 2021 | -896,000.00 |
| Jun 30, 2021 | 161,000.00 |
| Mar 31, 2021 | -1.76 Mn |
| Dec 31, 2020 | 1.02 Mn |
| Sep 30, 2020 | -2.52 Mn |
| Jun 30, 2020 | 3.94 Mn |
| Mar 31, 2020 | -11.06 Mn |
| Dec 31, 2019 | -1.86 Mn |
Great Elm Non Operating Income 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=non-operating-income&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();