Jefferies Financial (JEF) EBITDA Margin (2009 - 2026)
Jefferies Financial (JEF) recorded EBITDA Margin of 42.82% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 1.08 percentage points from 41.74% a year earlier and up 3.15 percentage points from the prior quarter.
Jefferies Financial (JEF) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Jefferies Financial's EBITDA Margin came in at 39.58% as of Aug 31, 2026, down 1.46 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 40.30%, down 2.28 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +12.76 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA Margin came in at 42.58% in FY2024 (-0.14 pp), 42.72% in FY2023 (+15.11 pp), 27.62% in FY2022 (-4.34 pp) and 31.96% in FY2021 (+4.42 pp).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA Margin since fiscal Q3 2024.
- On a year-over-year basis, EBITDA Margin rose in two of the last eight quarters, with an average year-over-year change of -1.97 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 18.62 percentage points in fiscal Q2 2023, against a drop of 7.15 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 39.67% (Q2 2026), 37.54% (Q1 2026) and 37.94% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.65 Bn | - | 69.82% |
| 2 | Robinhood Markets | 92.16 Bn | 73.19 Bn | - | 68.12% |
| 3 | Intercontinental Exchange | 89.38 Bn | 83.12 Bn | - | 49.29% |
| 4 | Nasdaq | 54.12 Bn | 51.55 Bn | 1.50 Bn | 34.64% |
| 5 | Interactive Brokers | 38.50 Bn | 15.61 Bn | - | 139.87% |
| 6 | Cboe Global Markets | 33.01 Bn | 24.66 Bn | 731.60 Mn | 34.94% |
| 7 | LPL Financial Holdings | 25.79 Bn | 21.11 Bn | - | 15.45% |
| 8 | Tradeweb Markets | 25.43 Bn | 17.45 Bn | - | 54.88% |
| 9 | Circle Internet | 22.71 Bn | 16.58 Bn | 288.85 Mn | 9.16% |
| 10 | Jefferies Financial | 8.96 Bn | -48.25 Bn | 3.21 Bn | 42.82% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 42.82% |
| May 31, 2026 | 39.67% |
| Feb 28, 2026 | 37.54% |
| Nov 30, 2025 | 37.94% |
| Aug 31, 2025 | 41.74% |
| May 31, 2025 | 40.38% |
| Feb 28, 2025 | 41.34% |
| Nov 30, 2024 | 40.65% |
| Aug 31, 2024 | 45.28% |
| May 31, 2024 | 43.70% |
| Feb 29, 2024 | 40.89% |
| Nov 30, 2023 | 43.89% |
| Aug 31, 2023 | 47.71% |
| May 31, 2023 | 39.67% |
| Feb 28, 2023 | 38.56% |
| Nov 30, 2022 | 29.37% |
| Aug 31, 2022 | 29.67% |
| May 31, 2022 | 21.05% |
| Feb 28, 2022 | 29.49% |
| Nov 30, 2021 | 31.02% |
Jefferies Financial EBITDA 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=ebitda-margin&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();