Banco Santander (SAN) Provision for Credit Losses (2009 - 2026)
Banco Santander (SAN) recorded Provision for Credit Losses of $10.02 billion in Q3 2026, up 10.7% from $9.05 billion a year earlier but down 6.4% from the prior quarter.
Banco Santander (SAN) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Banco Santander's Provision for Credit Losses came in at $40.72 billion as of Sep 30, 2026, up 13.1% year-over-year; for FY2025, it was $14.17 billion, up 7.9% from FY2024.
- Annual Provision for Credit Losses has a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- Across earlier years, Provision for Credit Losses came in at $13.14 billion in FY2024 (-1.3%), $13.3 billion in FY2023 (+16.2%), $11.45 billion in FY2022 (-56.3%) and $26.18 billion in FY2021 (-2.1%).
- Quarterly Provision for Credit Losses has ranged from $8.31 billion in Q4 2022 to $16.17 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Provision for Credit Losses has increased for four consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Provision for Credit Losses in the last five years was growth of 16.8% in Q1 2026, against a decline of 48.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.71 billion (Q2 2026), $10.27 billion (Q1 2026) and $9.73 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Banco Santander | 174.96 Bn | -510.44 Bn | 10.56 Bn | 10.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.02 Bn |
| Jun 30, 2026 | 10.71 Bn |
| Mar 31, 2026 | 10.27 Bn |
| Dec 31, 2025 | 9.73 Bn |
| Sep 30, 2025 | 9.05 Bn |
| Jun 30, 2025 | 9.17 Bn |
| Mar 31, 2025 | 8.79 Bn |
| Dec 31, 2024 | 8.98 Bn |
| Sep 30, 2024 | 9.41 Bn |
| Jun 30, 2024 | 9.05 Bn |
| Mar 31, 2024 | 9.11 Bn |
| Dec 31, 2023 | 9.08 Bn |
| Sep 30, 2023 | 9.11 Bn |
| Jun 30, 2023 | 9.13 Bn |
| Mar 31, 2023 | 8.68 Bn |
| Dec 31, 2022 | 8.31 Bn |
| Sep 30, 2022 | 8.41 Bn |
| Jun 30, 2022 | 9.17 Bn |
| Mar 31, 2022 | 10.37 Bn |
| Dec 31, 2021 | 16.17 Bn |
Banco Santander Provision for Credit Losses 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=provision-for-credit-losses&ticker=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();