Wells Fargo & Company (WFC) Return on Sales [ROS] (2009 - 2025)
Wells Fargo & Company (WFC) reported Return on Sales [ROS] of 84.05% for Q2 2026, up 6.97 percentage points from 77.08% a year earlier and up 7.91 percentage points from the prior quarter.
Wells Fargo & Company (WFC) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wells Fargo & Company's Return on Sales [ROS] came in at 80.09%, up 1.78 percentage points year-over-year; for FY2025, it came in at 77.69%, down 3.07 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +63.60 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 80.76% in FY2024 (+14.93 pp), 65.84% in FY2023 (+32.62 pp), 33.22% in FY2022 (-9.07 pp) and 42.29% in FY2021 (+28.19 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +2.43 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 39.36 percentage points); the low point was Q2 2022 (a drop of 15.72 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 76.14% (Q1 2026), 78.89% (Q4 2025) and 81.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Yr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 93.45% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 102.71% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 37.33% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 144.85% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 100.46% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 152.13% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 77.69% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 42.08% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 30.50% |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 6.79% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 77.69% |
| Dec 31, 2024 | 80.76% |
| Dec 31, 2023 | 65.84% |
| Dec 31, 2022 | 33.22% |
| Dec 31, 2021 | 42.29% |
| Dec 31, 2020 | 14.10% |
| Dec 31, 2019 | 51.62% |
| Dec 31, 2018 | 49.98% |
| Dec 31, 2017 | 41.55% |
| Dec 31, 2016 | 43.08% |
| Dec 31, 2015 | 43.71% |
| Dec 31, 2014 | 44.98% |
| Dec 31, 2013 | 44.07% |
| Dec 31, 2012 | 39.07% |
| Dec 31, 2011 | 37.44% |
| Dec 31, 2010 | 31.73% |
| Dec 31, 2009 | 31.51% |
Wells Fargo & Company 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-annual&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]-annual", "ticker": "WFC", "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-annual&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();