Grupo Supervielle (SUPV) Other Operating Expenses (2023 - 2024)
Grupo Supervielle's Other Operating Expenses was -$202.72 billion in the year ended Dec 31, 2025, compared with -$255.84 billion a year earlier.
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Analysis
Grupo Supervielle (SUPV) Other Operating Expenses (2023 - 2024) Analysis & Trends
From the year ended Dec 31, 2017 onward, Grupo Supervielle has reported Other Operating Expenses for 9 years.
- The figure for the year ended Dec 31, 2025 marks the highest annual Other Operating Expenses since the year ended Dec 31, 2022.
- Per Business Quant data, Other Operating Expenses in earlier years was -$255.84 billion in the year ended Dec 31, 2024, -$270.11 billion in the year ended Dec 31, 2023, -$180.58 billion in the year ended Dec 31, 2022 and -$71.87 billion in the year ended Dec 31, 2021.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -194.47 Bn |
| Sep 30, 2024 | -32.82 Bn |
| Jun 30, 2024 | -38.09 Bn |
| Dec 31, 2023 | -202.56 Bn |
| Sep 30, 2023 | -39.07 Bn |
| Jun 30, 2023 | -27.68 Bn |
API Access
Grupo Supervielle Other Operating 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=other-operating-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();