Banco Santander Chile (BSAC) Deposits - Total (2009 - 2025)
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Analysis
Banco Santander Chile (BSAC) Deposits - Total (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Deposits - Total (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2,780.79 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 15.64 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2,038.76 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 1,836.80 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 478.38 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,173.76 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 567.88 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1,502.65 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1,463.27 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 155.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15.64 Bn |
| Sep 30, 2025 | 13.10 Mn |
| Dec 31, 2024 | 14.36 Bn |
| Dec 31, 2023 | 15.30 Bn |
| Dec 31, 2022 | 16.46 Bn |
| Dec 31, 2021 | 21.02 Bn |
| Dec 31, 2020 | 20.48 Bn |
| Dec 31, 2019 | 14.06 Bn |
| Sep 30, 2019 | 9,463.46 Bn |
| Mar 31, 2019 | 8,526.34 Bn |
| Dec 31, 2018 | 12.60 Bn |
| Sep 30, 2018 | 12,157.39 Bn |
| Jun 30, 2018 | 8,127.76 Bn |
| Mar 31, 2018 | 8,175.61 Bn |
| Dec 31, 2017 | 7,768.17 Bn |
| Sep 30, 2017 | 7,270.50 Bn |
| Jun 30, 2017 | 7,195.89 Bn |
| Mar 31, 2017 | 7,408.62 Bn |
| Dec 31, 2016 | 7,539.32 Bn |
| Sep 30, 2016 | 6,913.45 Bn |
API Access
Banco Santander Chile Deposits - Total 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=deposits-total&ticker=BSAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deposits-total", "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=deposits-total&ticker=BSAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();