Schwab Charles (SCHW) Return on Sales [ROS] (2009 - 2026)
Schwab Charles' Return on Sales [ROS] came in at 63.04% for Q2 2026, down 1.36 percentage points from 64.40% a year earlier but up 1.24 percentage points from the prior quarter.
Schwab Charles (SCHW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Schwab Charles reported Return on Sales [ROS] of 63.03%, down 3.78 percentage points year-over-year; for FY2025, it was 63.60%, down 8.24 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +23.24 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 71.84% in FY2024 (+2.50 pp), 69.34% in FY2023 (+16.68 pp), 52.66% in FY2022 (+8.44 pp) and 44.22% in FY2021 (+3.86 pp).
- The five-year range for quarterly Return on Sales [ROS] is 42.27% (Q1 2022) to 75.28% (Q2 2023).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -3.90 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 27.37 percentage points), and the weakest in Q1 2025 (a drop of 11.35 percentage points).
- Business Quant data shows SCHW's Return on Sales [ROS] at 61.80% (Q1 2026), 63.32% (Q4 2025) and 64.01% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | Schwab Charles | 160.43 Bn | -7.81 Bn | - | 66.57% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.57% |
| Jun 30, 2026 | 63.04% |
| Mar 31, 2026 | 61.80% |
| Dec 31, 2025 | 63.32% |
| Sep 30, 2025 | 64.01% |
| Jun 30, 2025 | 64.40% |
| Mar 31, 2025 | 62.62% |
| Dec 31, 2024 | 68.02% |
| Sep 30, 2024 | 73.20% |
| Jun 30, 2024 | 72.62% |
| Mar 31, 2024 | 73.97% |
| Dec 31, 2023 | 67.89% |
| Sep 30, 2023 | 68.91% |
| Jun 30, 2023 | 75.28% |
| Mar 31, 2023 | 65.60% |
| Dec 31, 2022 | 62.03% |
| Sep 30, 2022 | 56.51% |
| Jun 30, 2022 | 47.91% |
| Mar 31, 2022 | 42.27% |
| Dec 31, 2021 | 45.69% |
Schwab Charles 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=SCHW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SCHW", "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=SCHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();