Santander Holdings USA (SNUS-PH) Total Liabilities (2009 - 2026)
Santander Holdings USA (SNUS-PH) posted Total Liabilities of $148.04 billion for Q2 2026, down 4.9% from $155.63 billion a year earlier and down 2.5% from the prior quarter.
Santander Holdings USA (SNUS-PH) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Santander Holdings USA's Total Liabilities came in at $148.63 billion, down 0.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Santander Holdings USA's Total Liabilities was $149.57 billion in FY2024 (+0.1%), $149.47 billion in FY2023 (-0.9%), $150.76 billion in FY2022 (+11.4%) and $135.35 billion in FY2021 (+5.6%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 21.4%; the weakest was Q1 2024, with a decline of 6.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $151.83 billion (Q1 2026), $148.63 billion (Q4 2025) and $151.15 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 2,055.50 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2,692.98 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 2,075.41 Bn |
| 10 | Santander Holdings USA | 108.25 Bn | -37.35 Bn | - | 233.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 233.43 Bn |
| Jun 30, 2026 | 148.04 Bn |
| Mar 31, 2026 | 151.83 Bn |
| Dec 31, 2025 | 148.63 Bn |
| Sep 30, 2025 | 151.15 Bn |
| Jun 30, 2025 | 155.63 Bn |
| Mar 31, 2025 | 156.14 Bn |
| Dec 31, 2024 | 149.57 Bn |
| Sep 30, 2024 | 151.52 Bn |
| Jun 30, 2024 | 151.58 Bn |
| Mar 31, 2024 | 149.90 Bn |
| Dec 31, 2023 | 149.47 Bn |
| Sep 30, 2023 | 148.70 Bn |
| Jun 30, 2023 | 153.72 Bn |
| Mar 31, 2023 | 160.01 Bn |
| Dec 31, 2022 | 150.76 Bn |
| Sep 30, 2022 | 147.78 Bn |
| Jun 30, 2022 | 144.44 Bn |
| Mar 31, 2022 | 131.84 Bn |
| Dec 31, 2021 | 135.35 Bn |
Santander Holdings USA Total 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=total-liabilities&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SNUS-PH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();