Jefferies Financial (JEF) EV to CFO (2010 - 2026)
Jefferies Financial's (JEF) EV to CFO stood at -1.08 in fiscal Q3 2026 (quarter ended Aug 31, 2026).
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Analysis
Jefferies Financial (JEF) EV to CFO (2010 - 2026) Analysis & Trends
On a TTM basis, Jefferies Financial's EV to CFO came in at -10.20 as of Aug 31, 2026; for FY2022 (ended Nov 30, 2022), it came in at -0.79.
- Across earlier fiscal years, EV to CFO came in at -1.25 in FY2021, -1.75 in FY2020 and 1.12 in FY2018.
- The fiscal Q3 2026 figure is the highest quarterly EV to CFO since fiscal Q1 2023.
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 | -1.08 |
| May 31, 2026 | -1.77 |
| May 31, 2023 | -2.48 |
| Feb 28, 2023 | 1.14 |
| Nov 30, 2022 | -0.79 |
| Aug 31, 2022 | -0.82 |
| May 31, 2022 | -0.44 |
| Feb 28, 2022 | -0.15 |
| Nov 30, 2021 | -1.25 |
| Aug 31, 2021 | -0.92 |
| May 31, 2021 | -0.90 |
| Feb 28, 2021 | -1.20 |
| Nov 30, 2020 | -1.75 |
| Aug 31, 2020 | -2.34 |
| May 31, 2020 | -4.02 |
| Feb 28, 2019 | -0.26 |
| Nov 30, 2018 | 1.12 |
| Mar 31, 2018 | 3.50 |
| Dec 31, 2017 | 4.56 |
| Sep 30, 2017 | 2.56 |
API Access
Jefferies Financial EV to CFO 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-cfo&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();