Jefferies Financial (JEF) Gross Margin (2009 - 2026)
Jefferies Financial (JEF) recorded Gross Margin of 99.29% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 0.47 percentage points from 98.82% a year earlier and up 0.29 percentage points from the prior quarter.
Jefferies Financial (JEF) Gross Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Jefferies Financial's Gross Margin came in at 98.72% as of Aug 31, 2026, up 0.73 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 98.24%, up 0.20 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +3.16 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Gross Margin came in at 98.04% in FY2024 (-1.57 pp), 99.60% in FY2023 (+5.77 pp), 93.83% in FY2022 (-0.90 pp) and 94.74% in FY2021 (-0.34 pp).
- The fiscal Q3 2026 figure is the highest quarterly Gross Margin since fiscal Q3 2023.
- On a year-over-year basis, Gross Margin has increased for five consecutive quarters, with an average year-over-year change of +0.03 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 8.03 percentage points in fiscal Q2 2023, against a drop of 2.21 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 99.00% (Q2 2026), 98.96% (Q1 2026) and 97.56% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.46 Bn | 94.56 Bn | - | - |
| 2 | Robinhood Markets | 92.16 Bn | 73.19 Bn | - | - |
| 3 | Intercontinental Exchange | 89.46 Bn | 83.20 Bn | - | - |
| 4 | Nasdaq | 54.14 Bn | 51.57 Bn | 1.50 Bn | 59.24% |
| 5 | Interactive Brokers | 38.47 Bn | 15.58 Bn | - | - |
| 6 | Cboe Global Markets | 33.08 Bn | 24.73 Bn | 731.60 Mn | 50.71% |
| 7 | LPL Financial Holdings | 25.80 Bn | 21.12 Bn | - | - |
| 8 | Tradeweb Markets | 25.44 Bn | 17.45 Bn | - | - |
| 9 | Circle Internet | 22.68 Bn | 16.56 Bn | 288.85 Mn | 41.19% |
| 10 | Jefferies Financial | 8.95 Bn | -48.25 Bn | 3.21 Bn | 99.29% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 99.29% |
| May 31, 2026 | 99.00% |
| Feb 28, 2026 | 98.96% |
| Nov 30, 2025 | 97.56% |
| Aug 31, 2025 | 98.82% |
| May 31, 2025 | 98.28% |
| Feb 28, 2025 | 98.32% |
| Nov 30, 2024 | 96.61% |
| Aug 31, 2024 | 98.56% |
| May 31, 2024 | 98.51% |
| Feb 29, 2024 | 98.64% |
| Nov 30, 2023 | 98.82% |
| Aug 31, 2023 | 99.92% |
| May 31, 2023 | 99.86% |
| Feb 28, 2023 | 99.88% |
| Nov 30, 2022 | 94.95% |
| Aug 31, 2022 | 93.26% |
| May 31, 2022 | 91.83% |
| Feb 28, 2022 | 95.00% |
| Nov 30, 2021 | 95.87% |
Jefferies Financial Gross 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=gross-margin&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();