Banco Santander (SAN) Interest Expense - Others (2014 - 2018)
Banco Santander's Interest Expense - Others came in at $14.19 billion for FY2025, down 12.0% from $16.13 billion in FY2024.
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Analysis
Banco Santander (SAN) Interest Expense - Others (2014 - 2018) Analysis & Trends
Going back to FY2015, Banco Santander's Interest Expense - Others data covers 11 years.
- Interest Expense - Others carries a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Interest Expense - Others since FY2022.
- Per Business Quant, earlier years put Interest Expense - Others at $16.13 billion in FY2024 (-6.6%), $17.27 billion in FY2023 (+122.8%), $7.75 billion in FY2022 (+133.6%) and $3.32 billion in FY2021 (-4.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - |
| 10 | Banco Santander | 179.20 Bn | -506.19 Bn | 10.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -934.40 Bn |
| Jun 30, 2018 | -906.50 Bn |
| Dec 31, 2017 | 35.53 Bn |
| Sep 30, 2017 | -948.60 Bn |
| Dec 31, 2015 | 47.20 Bn |
| Mar 31, 2015 | 7.09 Bn |
| Sep 30, 2014 | 24.84 Bn |
| Mar 31, 2014 | 8.30 Bn |
API Access
Banco Santander Interest Expense - Others 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=interest-expense-others&ticker=SAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "ticker": "SAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-others&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();