Great Elm (GEG) Inventory (2020 - 2022)
Great Elm's Inventory came in at $1.02 million for fiscal Q1 2023 (quarter ended Sep 30, 2022), down 5.0% from $1.07 million a year earlier but up 13.3% from the prior quarter.
Great Elm (GEG) Inventory (2020 - 2022) Analysis & Trends
At the end of FY2022 (ended Jun 30, 2022), Great Elm's Inventory was $898,000, down 15.8% from FY2021.
- Going back by fiscal year, Inventory was $1.07 million in FY2021 (-27.5%) and $1.47 million in FY2020.
- The five-year range for quarterly Inventory is $898,000 (fiscal Q4 2022) to $1.47 million (fiscal Q4 2020).
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 14.8% over the last five quarters.
- Business Quant data shows GEG's Inventory at $898,000 (Q4 2022), $949,000 (Q3 2022) and $913,000 (Q2 2022) in the three fiscal quarters before Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 9.43 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 | 112.60 Mn |
| 10 | Great Elm | 64.02 Mn | -139.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.02 Mn |
| Jun 30, 2022 | 898,000.00 |
| Mar 31, 2022 | 949,000.00 |
| Dec 31, 2021 | 913,000.00 |
| Sep 30, 2021 | 1.07 Mn |
| Jun 30, 2021 | 1.07 Mn |
| Mar 31, 2021 | 1.19 Mn |
| Dec 31, 2020 | 967,000.00 |
| Jun 30, 2020 | 1.47 Mn |
Great Elm 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=inventory&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();