Grupo Supervielle (SUPV) Operating Expenses (2017 - 2024)
Grupo Supervielle (SUPV) recorded Operating Expenses of -$221.81 billion in the year ended Dec 31, 2025, compared with -$229.33 billion a year earlier.
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Analysis
Grupo Supervielle (SUPV) Operating Expenses (2017 - 2024) Analysis & Trends
Starting with the year ended Dec 31, 2017, Grupo Supervielle's Operating Expenses history includes 9 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Operating Expenses since the year ended Dec 31, 2022.
- Per Business Quant data, SUPV's Operating Expenses was -$229.33 billion in the year ended Dec 31, 2024, -$241.89 billion in the year ended Dec 31, 2023, -$193.69 billion in the year ended Dec 31, 2022 and -$93.15 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Grupo Supervielle | 507.30 Mn | -1.85 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 40.03 Bn |
| Jun 30, 2024 | 35.10 Bn |
| Mar 31, 2024 | 28.64 Bn |
| Sep 30, 2023 | 42.06 Bn |
| Jun 30, 2023 | 35.50 Bn |
| Mar 31, 2023 | 30.65 Bn |
| Jun 30, 2017 | 2.02 Bn |
| Mar 31, 2017 | 1.89 Bn |
API Access
Grupo Supervielle 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=operating-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();