Banco Santander (SAN) Income Taxes Paid (2013 - 2026)
Banco Santander (SAN) recorded Income Taxes Paid of $2.3 billion in Q2 2026, up 235.4% from $684.84 million a year earlier and up 362.7% from the prior quarter.
Banco Santander (SAN) Income Taxes Paid (2013 - 2026) Analysis & Trends
On a TTM basis, Banco Santander's Income Taxes Paid came in at $7.24 billion as of Jun 30, 2026, up 25.0% year-over-year; for FY2025, it came in at $5.6 billion, down 12.1% from FY2024.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, Income Taxes Paid came in at $6.36 billion in FY2024 (+12.8%), $5.64 billion in FY2023 (-2.7%), $5.79 billion in FY2022 (+22.0%) and $4.75 billion in FY2021 (+41.1%).
- Quarterly Income Taxes Paid has ranged from -$5.86 billion in Q3 2022 to $9.4 billion in Q4 2024 over the past five years.
- On a year-over-year basis, Income Taxes Paid rose in three of the last six quarters, with growth averaging 47.1%.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 235.4% in Q2 2026, against a decline of 48.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $496.4 million (Q1 2026), $8.39 billion (Q4 2025) and -$3.94 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.84 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 788.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1.10 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Banco Santander | 174.96 Bn | -510.44 Bn | 10.56 Bn | -6.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -6.86 Bn |
| Jun 30, 2026 | 2.30 Bn |
| Mar 31, 2026 | 496.40 Mn |
| Dec 31, 2025 | 8.39 Bn |
| Sep 30, 2025 | -3.94 Bn |
| Jun 30, 2025 | 684.84 Mn |
| Mar 31, 2025 | 538.56 Mn |
| Dec 31, 2024 | 9.40 Bn |
| Sep 30, 2024 | -4.83 Bn |
| Jun 30, 2024 | 1.33 Bn |
| Mar 31, 2024 | 263.99 Mn |
| Dec 31, 2023 | 8.51 Bn |
| Sep 30, 2023 | -4.57 Bn |
| Jun 30, 2023 | 2.03 Bn |
| Mar 31, 2023 | -382.11 Mn |
| Dec 31, 2022 | 8.97 Bn |
| Sep 30, 2022 | -5.86 Bn |
| Jun 30, 2022 | 3.79 Bn |
| Mar 31, 2022 | -1.16 Bn |
| Dec 31, 2021 | 7.45 Bn |
Banco Santander Income Taxes Paid 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=income-taxes-paid&ticker=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();