Santander Holdings USA (SNUS-PH) Operating Expenses (2009 - 2026)
Santander Holdings USA (SNUS-PH) posted Operating Expenses of $1.48 billion for Q2 2026, down 8.3% from $1.62 billion a year earlier and down 4.2% from the prior quarter.
Santander Holdings USA (SNUS-PH) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Santander Holdings USA was $6.36 billion, down 6.8% year-over-year; for FY2025, it came in at $6.66 billion, down 3.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, Santander Holdings USA's Operating Expenses was $6.93 billion in FY2024 (-1.0%), $6.99 billion in FY2023 (+3.0%), $6.79 billion in FY2022 (-0.3%) and $6.81 billion in FY2021 (-23.0%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2015.
- On a year-over-year basis, Operating Expenses has declined in each of the last seven quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 5.9%; the weakest was Q1 2026, with a decline of 9.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.55 billion (Q1 2026), $1.69 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 11.31 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2.13 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 13.74 Bn |
| 10 | Santander Holdings USA | 108.25 Bn | -37.35 Bn | - | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.86 Bn |
| Jun 30, 2026 | 1.56 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 31, 2025 | 1.78 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.70 Bn |
| Mar 31, 2025 | 1.79 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 1.84 Bn |
| Jun 30, 2024 | 1.80 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.90 Bn |
| Sep 30, 2023 | 1.81 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.81 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.68 Bn |
| Dec 31, 2021 | 1.83 Bn |
Santander Holdings USA Operating 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=operating-expenses&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SNUS-PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();