Grupo Supervielle (SUPV) Exchange Rate Effect (2023 - 2024)
Grupo Supervielle (SUPV) reported Exchange Rate Effect of $254.26 billion for the year ended Dec 31, 2025, down 27.1% from $348.84 billion a year earlier.
Grupo Supervielle (SUPV) Exchange Rate Effect (2023 - 2024) Analysis & Trends
Dating back to the year ended Dec 31, 2018, Grupo Supervielle's Exchange Rate Effect record includes 8 years.
- Exchange Rate Effect has a five-year compound annual growth rate of 52.8% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Exchange Rate Effect since the year ended Dec 31, 2022.
- According to Business Quant data, Exchange Rate Effect came in at $348.84 billion in the year ended Dec 31, 2024 (-43.9%), $621.51 billion in the year ended Dec 31, 2023, $21.14 billion in the year ended Dec 31, 2022 (-68.5%) and $67.02 billion in the year ended Dec 31, 2021 (+119.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | -713.00 Mn |
| 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, 2024 | 206.72 Bn |
| Sep 30, 2024 | 51.05 Bn |
| Dec 31, 2023 | 597.88 Bn |
| Sep 30, 2023 | -61.74 Bn |
Grupo Supervielle Exchange Rate Effect 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=exchange-rate-effect&ticker=SUPV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();