Banco Santander Chile (BSAC) Accumulated Expenses (2013 - 2023)
Banco Santander Chile's Accumulated Expenses was $82.43 billion in the quarter ended Dec 31, 2025, up 1.4% from $81.31 billion a year earlier.
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Analysis
Banco Santander Chile (BSAC) Accumulated Expenses (2013 - 2023) Analysis & Trends
From the quarter ended Dec 31, 2009 onward, Banco Santander Chile has reported Accumulated Expenses for 28 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -4.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $81.31 billion in the year ended Dec 31, 2024 and $88.37 billion in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 88.37 Bn |
| Dec 31, 2019 | 63.13 Bn |
| Mar 31, 2019 | 59.26 Bn |
| Dec 31, 2018 | 63.13 Bn |
| Dec 31, 2016 | 67.07 Bn |
| Sep 30, 2016 | 65.65 Bn |
| Dec 31, 2015 | 47.22 Bn |
| Dec 31, 2014 | 28.90 Bn |
| Jun 30, 2014 | 16.34 Bn |
| Mar 31, 2014 | 14.14 Bn |
| Dec 31, 2013 | 19.13 Bn |
API Access
Banco Santander Chile Accumulated 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=accumulated-expenses&ticker=BSAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BSAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BSAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();