Jefferies Financial (JEF) Return on Sales [ROS] (2009 - 2026)
Jefferies Financial (JEF) recorded Return on Sales [ROS] of 41.38% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 1.57 percentage points from 39.81% a year earlier and up 3.03 percentage points from the prior quarter.
Jefferies Financial (JEF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Jefferies Financial's Return on Sales [ROS] came in at 38.05% as of Aug 31, 2026, down 1.12 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 38.43%, down 2.26 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +12.88 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 40.70% in FY2024 (-0.50 pp), 41.20% in FY2023 (+16.23 pp), 24.97% in FY2022 (-5.38 pp) and 30.35% in FY2021 (+4.79 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -1.87 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 19.66 percentage points in fiscal Q2 2023, against a drop of 7.85 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 38.36% (Q2 2026), 36.10% (Q1 2026) and 35.99% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 65.70% |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 119.30% |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 38.52% |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 66.36% |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 83.30% |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 138.98% |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 32.99% |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 191.07% |
| 10 | Jefferies Financial | 10.29 Bn | -46.88 Bn | 3.21 Bn | 41.38% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 41.38% |
| May 31, 2026 | 38.36% |
| Feb 28, 2026 | 36.10% |
| Nov 30, 2025 | 35.99% |
| Aug 31, 2025 | 39.81% |
| May 31, 2025 | 38.16% |
| Feb 28, 2025 | 40.01% |
| Nov 30, 2024 | 38.68% |
| Aug 31, 2024 | 43.43% |
| May 31, 2024 | 41.73% |
| Feb 29, 2024 | 39.16% |
| Nov 30, 2023 | 42.44% |
| Aug 31, 2023 | 46.46% |
| May 31, 2023 | 38.10% |
| Feb 28, 2023 | 36.67% |
| Nov 30, 2022 | 26.18% |
| Aug 31, 2022 | 27.33% |
| May 31, 2022 | 18.45% |
| Feb 28, 2022 | 27.01% |
| Nov 30, 2021 | 30.07% |
Jefferies 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=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JEF", "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=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();