Jefferies Financial (JEF) Operating Margin (2009 - 2026)
Jefferies Financial's Operating Margin came in at 41.38% for 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) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Jefferies Financial reported Operating Margin of 38.05%, 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.
- Operating Margin carries a five-year change of +12.88 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Operating Margin was 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 represents the highest quarterly Operating Margin since fiscal Q3 2024.
- Year-over-year, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -1.87 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q2 2023 (a gain of 19.66 percentage points), and the weakest in fiscal Q2 2022 (a drop of 7.85 percentage points).
- Business Quant data shows JEF's Operating Margin at 38.36% (Q2 2026), 36.10% (Q1 2026) and 35.99% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 38.52% |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 28.12% |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 32.99% |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 43.88% |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 4.90% |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 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 Operating Margin 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=operating-margin&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();