Grupo Supervielle (SUPV) Inventory (2017 - 2022)
Grupo Supervielle's Inventory was $208.92 million in the quarter ended Dec 31, 2022, down 21.6% from $266.43 million a year earlier.
Analysis
Grupo Supervielle (SUPV) Inventory (2017 - 2022) Analysis & Trends
From the quarter ended Jan 1, 2017 onward, Grupo Supervielle has reported Inventory for 6 quarters.
- Inventory shows a five-year compound annual growth rate of 6.0% (years ended Dec 2017 to Dec 2022).
- In earlier years, Inventory was $266.43 million in the year ended Dec 31, 2021 (+148.7%), $107.11 million in the year ended Dec 31, 2020 and $107.56 million in the year ended Dec 31, 2018 (-31.2%).
- The figure for the quarter ended Dec 31, 2022 marks the lowest quarterly Inventory since the quarter ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Grupo Supervielle | 630.36 Mn | 1.39 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 208.92 Mn |
| Dec 31, 2021 | 266.43 Mn |
| Dec 31, 2020 | 107.11 Mn |
| Dec 31, 2018 | 107.56 Mn |
| Dec 31, 2017 | 156.31 Mn |
| Jan 1, 2017 | 55.83 Mn |
API Access
Grupo Supervielle 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=SUPV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SUPV", "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=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();