Banco Santander (SAN) Return on Sales [ROS] (2009 - 2026)
Banco Santander (SAN) posted Return on Sales [ROS] of 58.18% for Q3 2026, up 25.67 percentage points from 32.51% a year earlier and up 0.92 percentage points from the prior quarter.
Banco Santander (SAN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Banco Santander was -71.62%, down 97.81 percentage points year-over-year; for FY2025, it came in at -1.85%, up 5.40 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -53.38 percentage points (FY2020 to FY2025).
- In prior years, Banco Santander's Return on Sales [ROS] was -7.26% in FY2024 (-0.67 pp), -6.59% in FY2023 (-12.69 pp), 6.11% in FY2022 (-46.38 pp) and 52.49% in FY2021 (+0.96 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -71.00 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 165.49 percentage points; the weakest was Q2 2026, with a drop of 286.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 57.26% (Q2 2026), 57.17% (Q1 2026) and -468.50% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 91.99% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 48.15% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 138.04% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 95.47% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 32.15% |
| 10 | Banco Santander | 174.96 Bn | -510.44 Bn | 10.56 Bn | 58.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.18% |
| Jun 30, 2026 | 57.26% |
| Mar 31, 2026 | 57.17% |
| Dec 31, 2025 | -468.50% |
| Jun 30, 2025 | 343.58% |
| Mar 31, 2025 | -72.69% |
| Dec 31, 2024 | -195.69% |
| Sep 30, 2024 | 195.99% |
| Jun 30, 2024 | 352.01% |
| Mar 31, 2024 | -84.26% |
| Dec 31, 2023 | -191.59% |
| Sep 30, 2023 | 148.40% |
| Jun 30, 2023 | 331.86% |
| Mar 31, 2023 | -69.39% |
| Dec 31, 2022 | -130.62% |
| Sep 30, 2022 | 159.69% |
| Jun 30, 2022 | 166.38% |
| Mar 31, 2022 | -7.69% |
| Dec 31, 2021 | -142.60% |
| Sep 30, 2021 | 153.40% |
Banco Santander Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();