Grupo Supervielle (SUPV) Non Operating Interest Expenses (2023 - 2024)
Grupo Supervielle (SUPV) reported Non Operating Interest Expenses of -$947.13 billion for the year ended Dec 31, 2025, compared with -$1.17 trillion a year earlier.
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Analysis
Grupo Supervielle (SUPV) Non Operating Interest Expenses (2023 - 2024) Analysis & Trends
Dating back to the year ended Dec 31, 2017, Grupo Supervielle's Non Operating Interest Expenses record includes 9 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Non Operating Interest Expenses since the year ended Dec 31, 2021.
- According to Business Quant data, Non Operating Interest Expenses came in at -$1.17 trillion in the year ended Dec 31, 2024, -$2.36 trillion in the year ended Dec 31, 2023, -$1.12 trillion in the year ended Dec 31, 2022 and -$366.99 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 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, 2024 | -888.01 Bn |
| Sep 30, 2024 | -149.25 Bn |
| Jun 30, 2024 | -154.12 Bn |
| Dec 31, 2023 | -1,793.99 Bn |
| Sep 30, 2023 | -519.59 Bn |
| Jun 30, 2023 | -356.38 Bn |
API Access
Grupo Supervielle Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();