Banco Santander (SAN) Trading Liabilities (2009 - 2026)
Banco Santander (SAN) reported Trading Liabilities of $49.95 billion for Q3 2026, up 14.8% from $43.5 billion a year earlier but down 77.4% from the prior quarter.
Banco Santander (SAN) Trading Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Banco Santander posted Trading Liabilities of $201.52 billion, up 27.3% from FY2024.
- Trading Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- By year, Trading Liabilities came in at $158.33 billion in FY2024 (+17.0%), $135.33 billion in FY2023 (+10.2%), $122.8 billion in FY2022 (+36.4%) and $90 billion in FY2021 (-9.9%).
- Five-year quarterly Trading Liabilities spans a low of $24.6 billion in Q1 2022 and a high of $220.92 billion in Q2 2026.
- Year over year, Trading Liabilities has now increased in each of the last six quarters, with growth averaging 16.3% over the last eight quarters.
- The high point for year-over-year Trading Liabilities in five years was Q1 2023 (growth of 64.4%); the low point was Q1 2022 (a decline of 70.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $220.92 billion (Q2 2026), $45.41 billion (Q1 2026) and $201.52 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Trading Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - | 297.91 Bn |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - | 109.81 Bn |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - | 78.41 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 | - | 330.24 Bn |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - | 56.13 Bn |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn | 225.74 Bn |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - | - |
| 10 | Banco Santander | 179.20 Bn | -506.19 Bn | 10.56 Bn | 49.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.95 Bn |
| Jun 30, 2026 | 220.92 Bn |
| Mar 31, 2026 | 45.41 Bn |
| Dec 31, 2025 | 201.52 Bn |
| Sep 30, 2025 | 43.50 Bn |
| Jun 30, 2025 | 182.58 Bn |
| Mar 31, 2025 | 38.88 Bn |
| Dec 31, 2024 | 158.33 Bn |
| Sep 30, 2024 | 38.54 Bn |
| Jun 30, 2024 | 143.34 Bn |
| Mar 31, 2024 | 41.65 Bn |
| Dec 31, 2023 | 135.33 Bn |
| Sep 30, 2023 | 41.83 Bn |
| Jun 30, 2023 | 146.60 Bn |
| Mar 31, 2023 | 40.45 Bn |
| Dec 31, 2022 | 122.80 Bn |
| Sep 30, 2022 | 28.37 Bn |
| Jun 30, 2022 | 119.52 Bn |
| Mar 31, 2022 | 24.60 Bn |
| Dec 31, 2021 | 90.00 Bn |
Banco Santander Trading Liabilities 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=trading-liabilities&ticker=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "trading-liabilities", "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=trading-liabilities&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();