Banco Santander Chile (BSAC) Price to Sales (2010 - 2024)
Banco Santander Chile's (BSAC) Price to Sales stood at 0.53 in the quarter ended Mar 31, 2014, down 3.0% from the prior quarter.
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Analysis
Banco Santander Chile (BSAC) Price to Sales (2010 - 2024) Analysis & Trends
For the year ended Dec 31, 2013, Banco Santander Chile's Price to Sales came in at 2.11, down 17.3% from the prior year.
- Annual Price to Sales has declined for three straight years.
- Across earlier years, Price to Sales came in at 2.56 in the year ended Dec 31, 2012 (-64.2%), 7.15 in the year ended Dec 31, 2011 (-26.6%) and 9.74 in the year ended Dec 31, 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 0.17 |
| Jun 30, 2024 | 0.13 |
| Mar 31, 2024 | 0.41 |
| Mar 31, 2019 | 2.99 |
| Dec 31, 2018 | 1.41 |
| Sep 30, 2018 | 1.77 |
| Jun 30, 2018 | 1.67 |
| Mar 31, 2018 | 1.80 |
| Dec 31, 2017 | 1.70 |
| Sep 30, 2017 | 1.68 |
| Jun 30, 2017 | 1.52 |
| Mar 31, 2017 | 1.60 |
| Dec 31, 2016 | 1.45 |
| Sep 30, 2016 | 1.46 |
| Jun 30, 2016 | 1.34 |
| Mar 31, 2016 | 1.27 |
| Dec 31, 2015 | 1.12 |
| Sep 30, 2015 | 1.08 |
| Jun 30, 2015 | 1.45 |
| Dec 31, 2014 | 1.11 |
API Access
Banco Santander Chile Price to Sales 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=price-to-sales&ticker=BSAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=BSAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();