Jefferies Financial (JEF) Sales of Property, Plant and Equipment (2009 - 2020)
Jefferies Financial's Sales of Property, Plant and Equipment came in at $274,000 for fiscal Q4 2020 (quarter ended Nov 30, 2020), compared with -$8.83 million a year earlier and down 81.7% from the prior quarter.
Jefferies Financial (JEF) Sales of Property, Plant and Equipment (2009 - 2020) Analysis & Trends
For FY2020 (ended Nov 30, 2020), Jefferies Financial's Sales of Property, Plant and Equipment was $5.12 million, down 54.7% from FY2019.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of -25.8% (FY2015 to FY2020).
- Going back by fiscal year, Sales of Property, Plant and Equipment was $11.3 million in FY2019 (-19.6%), $14.05 million in FY2018 and $62.46 million in FY2016 (+173.7%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is -$8.83 million (fiscal Q4 2019) to $34.01 million (fiscal Q3 2016).
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in fiscal Q2 2016 (growth of 720.4%), and the weakest in fiscal Q3 2020 (a decline of 89.5%).
- Business Quant data shows JEF's Sales of Property, Plant and Equipment at $1.5 million (Q3 2020), $2.12 million (Q2 2020) and $1.23 million (Q1 2020) in the three fiscal quarters before Q4 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | - |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | - |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | - |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2020 | 274,000.00 |
| Aug 31, 2020 | 1.50 Mn |
| May 31, 2020 | 2.12 Mn |
| Feb 29, 2020 | 1.23 Mn |
| Nov 30, 2019 | -8.83 Mn |
| Aug 31, 2019 | 14.27 Mn |
| May 31, 2019 | 3.55 Mn |
| Feb 28, 2019 | 2.31 Mn |
| Nov 30, 2018 | 2.06 Mn |
| Sep 30, 2018 | 3.86 Mn |
| Jun 30, 2018 | 4.54 Mn |
| Mar 31, 2018 | 3.60 Mn |
| Dec 31, 2017 | 2.83 Mn |
| Sep 30, 2017 | 3.98 Mn |
| Jun 30, 2017 | 3.94 Mn |
| Mar 31, 2017 | 17.29 Mn |
| Dec 31, 2016 | 3.81 Mn |
| Sep 30, 2016 | 34.01 Mn |
| Jun 30, 2016 | 19.35 Mn |
| Mar 31, 2016 | 5.30 Mn |
Jefferies Financial Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();