Wells Fargo & Company (WFC) Return on Sales [ROS] (2009 - 2026)
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 - 2026) 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 (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 30.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.05% |
| Mar 31, 2026 | 76.14% |
| Dec 31, 2025 | 78.89% |
| Sep 30, 2025 | 81.07% |
| Jun 30, 2025 | 77.08% |
| Mar 31, 2025 | 73.47% |
| Dec 31, 2024 | 76.56% |
| Sep 30, 2024 | 86.13% |
| Jun 30, 2024 | 82.75% |
| Mar 31, 2024 | 77.65% |
| Dec 31, 2023 | 65.82% |
| Sep 30, 2023 | 74.48% |
| Jun 30, 2023 | 65.75% |
| Mar 31, 2023 | 57.24% |
| Dec 31, 2022 | 36.19% |
| Sep 30, 2022 | 35.12% |
| Jun 30, 2022 | 29.08% |
| Mar 31, 2022 | 31.72% |
| Dec 31, 2021 | 45.13% |
| Sep 30, 2021 | 41.69% |
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&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();