Grupo Supervielle (SUPV) Selling, General & Administrative (2023 - 2024)
Grupo Supervielle (SUPV) recorded Selling, General & Administrative 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) Selling, General & Administrative (2023 - 2024) Analysis & Trends
Starting with the year ended Dec 31, 2017, Grupo Supervielle's Selling, General & Administrative history includes 9 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Selling, General & Administrative since the year ended Dec 31, 2022.
- Per Business Quant data, SUPV's Selling, General & Administrative 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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | -86.30 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.65 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Grupo Supervielle | 606.46 Mn | 1.36 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -174.33 Bn |
| Sep 30, 2024 | -40.03 Bn |
| Jun 30, 2024 | -35.10 Bn |
| Dec 31, 2023 | -183.88 Bn |
| Sep 30, 2023 | -42.06 Bn |
| Jun 30, 2023 | -35.50 Bn |
API Access
Grupo Supervielle Selling, General & Administrative 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=selling-general-and-administrative&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();