Santander Holdings USA (SNUS-PH) Interest Expenses (2009 - 2026)
Santander Holdings USA's Interest Expenses was $1.36 billion in Q2 2026, down 19.9% from $1.7 billion a year earlier and down 2.4% from the prior quarter.
Santander Holdings USA (SNUS-PH) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Santander Holdings USA's Interest Expenses was $5.86 billion through Jun 30, 2026, down 19.6% year-over-year; for FY2025, it was $6.48 billion, down 17.8% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $7.89 billion in FY2024 (+21.7%), $6.48 billion in FY2023 (+188.4%), $2.25 billion in FY2022 (+103.6%) and $1.1 billion in FY2021 (-33.6%).
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q1 2023.
- Compared with a year earlier, Interest Expenses has declined for six straight quarters, with an average decline of 10.1% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 454.0%); the worst was Q3 2021 (a decline of 29.1%).
- Per Business Quant data, SNUS-PH's Interest Expenses in the three quarters before Q2 2026 was $1.4 billion (Q1 2026), $1.49 billion (Q4 2025) and $1.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 26.02 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 17.81 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 12.94 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 12.80 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 19.02 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 11.39 Bn |
| 10 | Santander Holdings USA | 108.25 Bn | -37.35 Bn | - | 1.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.55 Bn |
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.40 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 1.70 Bn |
| Mar 31, 2025 | 1.68 Bn |
| Dec 31, 2024 | 1.87 Bn |
| Sep 30, 2024 | 2.04 Bn |
| Jun 30, 2024 | 2.10 Bn |
| Mar 31, 2024 | 1.88 Bn |
| Dec 31, 2023 | 1.78 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.68 Bn |
| Mar 31, 2023 | 1.34 Bn |
| Dec 31, 2022 | 991.79 Mn |
| Sep 30, 2022 | 638.46 Mn |
| Jun 30, 2022 | 374.30 Mn |
| Mar 31, 2022 | 242.18 Mn |
| Dec 31, 2021 | 252.55 Mn |
Santander Holdings USA Interest 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=interest-expenses&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();