Banco Santander (SAN) Other Accumulated Expenses (2009 - 2026)
Banco Santander (SAN) posted Other Accumulated Expenses of $13.63 billion for the quarter ended Jun 30, 2026, down 65.1% from $39.02 billion a year earlier but up 420.3% from the prior quarter.
Banco Santander (SAN) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Banco Santander's Other Accumulated Expenses came in at $9.77 billion.
- In prior years, Banco Santander's Other Accumulated Expenses was -$6.52 billion in the year ended Dec 31, 2024, -$4.92 billion in the year ended Dec 31, 2023, -$3.3 billion in the year ended Dec 31, 2022 and -$4.4 billion in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has run from a low of -$6.52 billion in the quarter ended Dec 31, 2024 to a high of $43.36 billion in the quarter ended Jun 30, 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in three of the last six quarters, with an average decline of 30.2%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was the quarter ended Mar 31, 2024, with growth of 37.9%; the weakest was the quarter ended Sep 30, 2025, with a decline of 94.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $2.62 billion (quarter ended Mar 31, 2026), $10.06 billion (quarter ended Dec 31, 2025) and $2.02 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 899.26 Bn | 899.26 Bn | - |
| 2 | Bank Of America | 361.96 Bn | -2,014.11 Bn | - |
| 3 | Hsbc Holdings | 327.51 Bn | -1,501.65 Bn | - |
| 4 | Morgan Stanley | 281.09 Bn | -228.01 Bn | - |
| 5 | Royal Bank Of Canada | 272.18 Bn | -557.87 Bn | - |
| 6 | Goldman Sachs | 264.35 Bn | -3,292.77 Bn | - |
| 7 | Mitsubishi Ufj Financial | 250.79 Bn | -44.15 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 242.42 Bn | 242.42 Bn | - |
| 9 | American Express | 208.65 Bn | 479.50 Mn | - |
| 10 | Banco Santander | 199.98 Bn | -482.02 Bn | 10.41 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.85 Bn |
| Mar 31, 2026 | 9.98 Bn |
| Dec 31, 2025 | 13.42 Bn |
| Sep 30, 2025 | 12.73 Bn |
| Jun 30, 2025 | 39.02 Bn |
| Mar 31, 2025 | 41.65 Bn |
| Dec 31, 2024 | -6.52 Bn |
| Sep 30, 2024 | 34.23 Bn |
| Jun 30, 2024 | 31.93 Bn |
| Mar 31, 2024 | 33.22 Bn |
| Dec 31, 2023 | -4.89 Bn |
| Sep 30, 2023 | 27.58 Bn |
| Jun 30, 2023 | 24.34 Bn |
| Mar 31, 2023 | 24.09 Bn |
| Dec 31, 2022 | -3.20 Bn |
| Sep 30, 2022 | 39.51 Bn |
| Jun 30, 2022 | 43.36 Bn |
| Mar 31, 2022 | 41.53 Bn |
| Dec 31, 2021 | -4.26 Bn |
| Sep 30, 2021 | 36.71 Bn |
Banco Santander Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();