Great Elm (GEG) Change in Inventory (2020 - 2022)
Great Elm's Change in Inventory was $119,000 in fiscal Q1 2023 (quarter ended Sep 30, 2022), compared with $5,000 a year earlier.
Great Elm (GEG) Change in Inventory (2020 - 2022) Analysis & Trends
On a trailing twelve-month basis, Great Elm's Change in Inventory was -$184,000 through Sep 30, 2022; for FY2022 (ended Jun 30, 2022), it was -$298,000.
- In earlier fiscal years, Change in Inventory was -$617,000 in FY2021 and $134,000 in FY2020.
- The fiscal Q1 2023 figure marks the highest quarterly Change in Inventory in data going back to fiscal Q3 2020.
- Per Business Quant data, GEG's Change in Inventory in the three fiscal quarters before Q1 2023 was -$181,000 (Q4 2022), $36,000 (Q3 2022) and -$158,000 (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 177.01 Bn | 123.14 Bn | - | - |
| 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 | - |
| 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 | - |
| 10 | Great Elm | 65.12 Mn | -138.58 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 119,000.00 |
| Jun 30, 2022 | -181,000.00 |
| Mar 31, 2022 | 36,000.00 |
| Dec 31, 2021 | -158,000.00 |
| Sep 30, 2021 | 5,000.00 |
| Jun 30, 2021 | -121,000.00 |
| Mar 31, 2021 | 7,000.00 |
| Dec 31, 2020 | -160,000.00 |
| Sep 30, 2020 | -343,000.00 |
| Jun 30, 2020 | -280,000.00 |
| Mar 31, 2020 | -3,000.00 |
Great Elm Change in Inventory 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=change-in-inventory&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();