Jefferies Financial (JEF) EBT (2009 - 2026)
Jefferies Financial (JEF) posted EBT of $351.04 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 5.8% from $331.82 million a year earlier and up 11.2% from the prior quarter.
Jefferies Financial (JEF) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBT at Jefferies Financial was $1.13 billion, up 22.7% year-over-year; for FY2025 (ended Nov 30, 2025), it was $871 million, down 13.4% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior fiscal years, Jefferies Financial's EBT was $1.01 billion in FY2024 (+183.8%), $354.3 million in FY2023 (-66.4%), $1.06 billion in FY2022 (-53.2%) and $2.25 billion in FY2021 (+111.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBT since fiscal Q1 2022.
- On a year-over-year basis, EBT has increased in each of the last three quarters, with growth averaging 46.5% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q4 2024, with growth of 249.2%; the weakest was fiscal Q2 2023, with a decline of 89.2%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $315.55 million (Q2 2026), $212.22 million (Q1 2026) and $253.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 1.35 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 2.19 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.24 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 625.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 701.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 1.39 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 554.50 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 1.50 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 796.50 Mn |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn | 351.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 351.04 Mn |
| May 31, 2026 | 315.55 Mn |
| Feb 28, 2026 | 212.22 Mn |
| Nov 30, 2025 | 253.22 Mn |
| Aug 31, 2025 | 331.82 Mn |
| May 31, 2025 | 134.90 Mn |
| Feb 28, 2025 | 151.10 Mn |
| Nov 30, 2024 | 304.86 Mn |
| Aug 31, 2024 | 252.69 Mn |
| May 31, 2024 | 227.75 Mn |
| Feb 29, 2024 | 220.24 Mn |
| Nov 30, 2023 | 87.29 Mn |
| Aug 31, 2023 | 91.07 Mn |
| May 31, 2023 | 17.92 Mn |
| Feb 28, 2023 | 158.02 Mn |
| Nov 30, 2022 | 194.88 Mn |
| Aug 31, 2022 | 301.90 Mn |
| May 31, 2022 | 166.54 Mn |
| Feb 28, 2022 | 392.33 Mn |
| Nov 30, 2021 | 364.30 Mn |
Jefferies Financial EBT 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=ebt&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();