Jefferies Financial (JEF) EV to EBITDA (2010 - 2026)
Jefferies Financial's EV to EBITDA came in at -0.99 for fiscal Q3 2026 (quarter ended Aug 31, 2026), compared with 0.45 a year earlier.
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Analysis
Jefferies Financial (JEF) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Jefferies Financial reported EV to EBITDA of -9.36; for FY2025 (ended Nov 30, 2025), it came in at -0.48.
- Going back by fiscal year, EV to EBITDA was 0.94 in FY2024, -0.30 in FY2023, -0.72 in FY2022 and -0.69 in FY2021.
- The fiscal Q3 2026 figure represents the lowest quarterly EV to EBITDA since fiscal Q3 2022.
- Business Quant data shows JEF's EV to EBITDA at -0.76 (Q2 2026), -0.64 (Q1 2026) and -0.48 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -0.99 |
| May 31, 2026 | -0.76 |
| Feb 28, 2026 | -0.64 |
| Nov 30, 2025 | -0.48 |
| Aug 31, 2025 | 0.45 |
| May 31, 2025 | -0.27 |
| Feb 28, 2025 | 0.57 |
| Nov 30, 2024 | 0.94 |
| Aug 31, 2024 | 0.43 |
| May 31, 2024 | -0.23 |
| Feb 29, 2024 | 0.38 |
| Nov 30, 2023 | -0.30 |
| Aug 31, 2023 | -0.44 |
| May 31, 2023 | -0.40 |
| Feb 28, 2023 | 0.65 |
| Nov 30, 2022 | -0.72 |
| Aug 31, 2022 | -1.17 |
| May 31, 2022 | -0.52 |
| Feb 28, 2022 | -0.11 |
| Nov 30, 2021 | -0.69 |
API Access
Jefferies Financial EV to 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=ev-to-ebitda&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();