Banco Santander Chile (BSAC) Other Non-Interest Expense (2009 - 2024)
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Analysis
Banco Santander Chile (BSAC) Other Non-Interest Expense (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Int. Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | -4.05 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3.50 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 5.25 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 2.86 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 672.02 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 4.84 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2.69 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 11.61 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 10.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 266.12 Bn |
| Jun 30, 2024 | 255.30 Bn |
| Mar 31, 2024 | 258.51 Bn |
| Sep 30, 2023 | 258.22 Bn |
| Jun 30, 2023 | 263.48 Bn |
| Sep 30, 2019 | 41.60 Bn |
| Jun 30, 2019 | 281.82 Bn |
| Mar 31, 2019 | 134.89 Bn |
| Dec 31, 2018 | 193.32 Bn |
| Sep 30, 2018 | 135.83 Bn |
| Jun 30, 2018 | 133.25 Bn |
| Mar 31, 2018 | 118.66 Bn |
| Dec 31, 2017 | 147.78 Bn |
| Sep 30, 2017 | 143.89 Bn |
| Jun 30, 2017 | 284.77 Bn |
| Mar 31, 2017 | 129.30 Bn |
| Dec 31, 2016 | 140.58 Bn |
| Sep 30, 2016 | 132.64 Bn |
| Jun 30, 2016 | 272.70 Bn |
| Mar 31, 2016 | 123.58 Bn |
API Access
Banco Santander Chile Other Non-Interest Expense 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-non-interest-expense&ticker=BSAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=BSAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();