Jefferies Financial (JEF) EBITDA (2009 - 2026)
Jefferies Financial (JEF) posted EBITDA of $1.38 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 14.0% from $1.21 billion a year earlier and up 11.8% from the prior quarter.
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Analysis
Jefferies Financial (JEF) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBITDA at Jefferies Financial was $4.82 billion, up 9.4% year-over-year; for FY2025 (ended Nov 30, 2025), it was $4.36 billion, down 2.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior fiscal years, Jefferies Financial's EBITDA was $4.48 billion in FY2024 (+40.8%), $3.18 billion in FY2023 (+61.0%), $1.97 billion in FY2022 (-30.9%) and $2.86 billion in FY2021 (+50.9%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA since fiscal Q4 2017.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2023, with growth of 94.9%; the weakest was fiscal Q2 2022, with a decline of 45.0%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $1.24 billion (Q2 2026), $1.08 billion (Q1 2026) and $1.12 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 1.22 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.81 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 2.40 Bn |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.38 Bn |
| May 31, 2026 | 1.24 Bn |
| Feb 28, 2026 | 1.08 Bn |
| Nov 30, 2025 | 1.12 Bn |
| Aug 31, 2025 | 1.21 Bn |
| May 31, 2025 | 1.01 Bn |
| Feb 28, 2025 | 1.02 Bn |
| Nov 30, 2024 | 1.16 Bn |
| Aug 31, 2024 | 1.18 Bn |
| May 31, 2024 | 1.10 Bn |
| Feb 29, 2024 | 1.04 Bn |
| Nov 30, 2023 | 864.09 Mn |
| Aug 31, 2023 | 973.70 Mn |
| May 31, 2023 | 655.00 Mn |
| Feb 28, 2023 | 686.51 Mn |
| Nov 30, 2022 | 530.90 Mn |
| Aug 31, 2022 | 543.53 Mn |
| May 31, 2022 | 336.03 Mn |
| Feb 28, 2022 | 564.03 Mn |
| Nov 30, 2021 | 600.20 Mn |
API Access
Jefferies Financial EBITDA 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&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();