Raymond James Financial (RJF) Return on Sales [ROS] (2009 - 2026)
Raymond James Financial (RJF) reported Return on Sales [ROS] of 27.14% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.93 percentage points from 26.21% a year earlier and up 0.44 percentage points from the prior quarter.
Raymond James Financial (RJF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Raymond James Financial's Return on Sales [ROS] came in at 27.58%, down 2.11 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 28.66%, down 3.13 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +13.61 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 31.80% in FY2024 (+3.68 pp), 28.12% in FY2023 (+7.54 pp), 20.58% in FY2022 (+0.99 pp) and 19.59% in FY2021 (+4.53 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 17.10% in fiscal Q3 2022 and a high of 34.11% in fiscal Q2 2023.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -1.76 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2023 (a gain of 16.74 percentage points); the low point was fiscal Q3 2025 (a drop of 5.10 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 26.70% (Q2 2026), 27.99% (Q1 2026) and 28.50% (Q4 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 | Raymond James Financial | 30.40 Bn | -18.12 Bn | - | 27.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.14% |
| Mar 31, 2026 | 26.70% |
| Dec 31, 2025 | 27.99% |
| Sep 30, 2025 | 28.50% |
| Jun 30, 2025 | 26.21% |
| Mar 31, 2025 | 28.95% |
| Dec 31, 2024 | 30.90% |
| Sep 30, 2024 | 32.50% |
| Jun 30, 2024 | 31.31% |
| Mar 31, 2024 | 31.03% |
| Dec 31, 2023 | 32.30% |
| Sep 30, 2023 | 29.79% |
| Jun 30, 2023 | 26.48% |
| Mar 31, 2023 | 34.11% |
| Dec 31, 2022 | 29.50% |
| Sep 30, 2022 | 26.19% |
| Jun 30, 2022 | 17.10% |
| Mar 31, 2022 | 17.37% |
| Dec 31, 2021 | 21.11% |
| Sep 30, 2021 | 21.79% |
Raymond James Financial 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=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RJF", "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=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();