Great Elm (GEG) Restructuring Costs (2019 - 2022)
Great Elm's Restructuring Costs was $546,000 in fiscal Q4 2022 (quarter ended Jun 30, 2022), up 77.9% from $307,000 a year earlier and up 493.5% from the prior quarter.
Great Elm (GEG) Restructuring Costs (2019 - 2022) Analysis & Trends
For FY2022 (ended Jun 30, 2022), Restructuring Costs at Great Elm came in at $1.08 million, up 17.9% from FY2021.
- In earlier fiscal years, Restructuring Costs was $917,000 in FY2021 (+6.3%) and $863,000 in FY2020.
- The fiscal Q4 2022 figure marks the highest quarterly Restructuring Costs in data going back to fiscal Q2 2020.
- Compared with a year earlier, Restructuring Costs was higher in two of the last six quarters, with growth averaging 116.5%.
- Per Business Quant data, GEG's Restructuring Costs in the three fiscal quarters before Q4 2022 was $92,000 (Q3 2022), $162,000 (Q2 2022) and $281,000 (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - |
| 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 |
| 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 |
|---|---|
| Jun 30, 2022 | 546,000.00 |
| Mar 31, 2022 | 92,000.00 |
| Dec 31, 2021 | 162,000.00 |
| Sep 30, 2021 | 281,000.00 |
| Jun 30, 2021 | 307,000.00 |
| Mar 31, 2021 | 262,000.00 |
| Dec 31, 2020 | 316,000.00 |
| Sep 30, 2020 | 32,000.00 |
| Mar 31, 2020 | 286,000.00 |
| Dec 31, 2019 | 486,000.00 |
Great Elm Restructuring Costs 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=restructuring-costs&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();