Grupo Supervielle (SUPV) Net Cash Flow (2023 - 2024)
Grupo Supervielle (SUPV) posted Net Cash Flow of $896.32 billion for the year ended Dec 31, 2025, up 33.9% from $669.63 billion a year earlier.
Analysis
Grupo Supervielle (SUPV) Net Cash Flow (2023 - 2024) Analysis & Trends
Since the year ended Dec 31, 2018, Grupo Supervielle has reported Net Cash Flow for 8 years.
- Annual Net Cash Flow shows a five-year compound annual growth rate of 139.0% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 stands as the highest annual Net Cash Flow in data going back to the year ended Dec 31, 2018.
- Business Quant data shows SUPV's Net Cash Flow at $669.63 billion in the year ended Dec 31, 2024 (+99.9%), $334.94 billion in the year ended Dec 31, 2023, -$125.24 billion in the year ended Dec 31, 2022 and -$53.23 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -88.00 Mn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | -12.45 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 27.11 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 2.71 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 | - | 8.45 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 28.19 Bn |
| 10 | Grupo Supervielle | 630.36 Mn | 1.39 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 11.58 Bn |
| Sep 30, 2024 | 14.42 Bn |
| Dec 31, 2023 | -58.08 Bn |
| Sep 30, 2023 | -35.68 Bn |
API Access
Grupo Supervielle Net Cash Flow 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=net-cash-flow&ticker=SUPV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();