Grupo Supervielle (SUPV) Interest Expenses (2023 - 2024)
Grupo Supervielle's Interest Expenses was -$888.01 billion in the quarter ended Dec 31, 2024, compared with -$1.79 trillion a year earlier.
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Analysis
Grupo Supervielle (SUPV) Interest Expenses (2023 - 2024) Analysis & Trends
On a trailing twelve-month basis, Grupo Supervielle's Interest Expenses was -$2.99 trillion through Dec 31, 2024; for the year ended Dec 31, 2020, it came in at -$83.42 billion.
- In earlier years, Interest Expenses was -$71.31 billion in the year ended Dec 31, 2019, -$36.47 billion in the year ended Dec 31, 2018 and -$4.52 billion in the year ended Dec 31, 2017.
- Quarterly Interest Expenses has moved between -$1.79 trillion (the quarter ended Dec 31, 2023) and -$149.25 billion (the quarter ended Sep 30, 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 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 | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 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 | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 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 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=interest-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();