Jefferies Financial (JEF) Acquisitions (2009 - 2022)
Jefferies Financial (JEF) reported Acquisitions of -$215.19 million for FY2023 (year ended Nov 30, 2023).
Analysis
Jefferies Financial (JEF) Acquisitions (2009 - 2022) Analysis & Trends
Dating back to FY2009, Jefferies Financial's Acquisitions record includes 12 fiscal years.
- The FY2023 figure ranks as the highest annual Acquisitions since FY2020.
- According to Business Quant data, Acquisitions came in at $1.69 billion in FY2020 (+532.6%) and $267.26 million in FY2019 (-86.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | - | 65.00 Mn |
| 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 |
|---|---|
| Nov 30, 2022 | -370.67 Mn |
| Aug 31, 2022 | 47.46 Mn |
| May 31, 2022 | 22.14 Mn |
| Feb 28, 2022 | 301.06 Mn |
| Nov 30, 2021 | -2.29 Bn |
| Aug 31, 2021 | 303.63 Mn |
| May 31, 2021 | 1.07 Bn |
| Feb 28, 2021 | 914.48 Mn |
| Nov 30, 2020 | 299.87 Mn |
| Aug 31, 2020 | 7.95 Mn |
| May 31, 2020 | 518.41 Mn |
| Feb 29, 2020 | 864.42 Mn |
| Nov 30, 2019 | 94.79 Mn |
| Aug 31, 2019 | -2.36 Mn |
| May 31, 2019 | 28.66 Mn |
| Feb 28, 2019 | 45.45 Mn |
| Nov 30, 2018 | 20.49 Mn |
| Sep 30, 2018 | 14.83 Mn |
| Jun 30, 2018 | 131.56 Mn |
| Mar 31, 2018 | 1.79 Bn |
API Access
Jefferies Financial Acquisitions 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=acquisitions&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();