Grupo Supervielle (SUPV) Real Estate - Net (2017 - 2025)
Grupo Supervielle (SUPV) posted Real Estate - Net of $101.33 billion for the quarter ended Dec 31, 2025, up 656.0% from $13.4 billion a year earlier.
Grupo Supervielle (SUPV) Real Estate - Net (2017 - 2025) Analysis & Trends
Since the quarter ended Jan 1, 2017, Grupo Supervielle has reported Real Estate - Net for 10 quarters.
- Annual Real Estate - Net shows a five-year compound annual growth rate of 62.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Grupo Supervielle's Real Estate - Net was $103.44 billion in the year ended Dec 31, 2024 (-20.8%), $130.62 billion in the year ended Dec 31, 2023 (+148.2%), $52.64 billion in the year ended Dec 31, 2022 (+210.7%) and $16.94 billion in the year ended Dec 31, 2021 (+87.1%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Real Estate - Net in data going back to the quarter ended Jan 1, 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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
| Date | Value |
|---|---|
| Dec 31, 2025 | 101.33 Bn |
| Dec 31, 2024 | 13.40 Bn |
| Dec 31, 2023 | 20.09 Bn |
| Dec 31, 2022 | 5.45 Bn |
| Dec 31, 2021 | 2.68 Bn |
| Dec 31, 2020 | 271.85 Mn |
| Dec 31, 2019 | 261.24 Mn |
| Dec 31, 2018 | -301.43 Mn |
| Dec 31, 2017 | 27.65 Mn |
| Jan 1, 2017 | 887.24 Mn |
Grupo Supervielle Real Estate - Net 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=real-estate-net&ticker=SUPV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();