Jpmorgan Chase (JPM) Return on Sales [ROS] (2009 - 2026)
Jpmorgan Chase's Return on Sales [ROS] came in at 91.77% for Q2 2026, down 4.67 percentage points from 96.45% a year earlier but up 2.87 percentage points from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jpmorgan Chase reported Return on Sales [ROS] of 91.33%, down 5.96 percentage points year-over-year; for FY2025, it was 93.45%, down 5.92 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +55.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 99.37% in FY2024 (+8.96 pp), 90.40% in FY2023 (+34.25 pp), 56.15% in FY2022 (+2.62 pp) and 53.53% in FY2021 (+15.37 pp).
- The five-year range for quarterly Return on Sales [ROS] is 38.05% (Q1 2022) to 103.13% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -2.32 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 46.07 percentage points), and the weakest in Q1 2022 (a drop of 21.08 percentage points).
- Business Quant data shows JPM's Return on Sales [ROS] at 88.90% (Q1 2026), 89.46% (Q4 2025) and 95.24% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.77% |
| Mar 31, 2026 | 88.90% |
| Dec 31, 2025 | 89.46% |
| Sep 30, 2025 | 95.24% |
| Jun 30, 2025 | 96.45% |
| Mar 31, 2025 | 92.67% |
| Dec 31, 2024 | 97.25% |
| Sep 30, 2024 | 103.13% |
| Jun 30, 2024 | 98.01% |
| Mar 31, 2024 | 99.32% |
| Dec 31, 2023 | 89.85% |
| Sep 30, 2023 | 96.71% |
| Jun 30, 2023 | 90.67% |
| Mar 31, 2023 | 84.12% |
| Dec 31, 2022 | 75.55% |
| Sep 30, 2022 | 61.42% |
| Jun 30, 2022 | 46.83% |
| Mar 31, 2022 | 38.05% |
| Dec 31, 2021 | 48.11% |
| Sep 30, 2021 | 52.32% |
API Access
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();