Jefferies Financial (JEF) Total Non-Current Liabilities (2009 - 2019)
Jefferies Financial's Total Non-Current Liabilities came in at $39.19 billion for fiscal Q3 2019 (quarter ended Aug 31, 2019), up 1.5% from the prior quarter.
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Analysis
Jefferies Financial (JEF) Total Non-Current Liabilities (2009 - 2019) Analysis & Trends
At the end of FY2018 (ended Nov 30, 2018), Jefferies Financial's Total Non-Current Liabilities was $37.01 billion.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -0.4% (FY2013 to FY2018).
- Going back by fiscal year, Total Non-Current Liabilities was $34.73 billion in FY2016 (-3.1%), $35.85 billion in FY2015 (-15.1%) and $42.24 billion in FY2014 (+12.1%).
- The fiscal Q3 2019 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q3 2015.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2014 (growth of 12.1%), and the weakest in fiscal Q1 2016 (a decline of 21.0%).
- Business Quant data shows JEF's Total Non-Current Liabilities at $38.6 billion (Q2 2019), $38.95 billion (Q1 2019) and $37.01 billion (Q4 2018) in the three fiscal quarters before Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 167.36 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 24.02 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 46.75 Bn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 15.10 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 224.85 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 4.92 Bn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 11.51 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 584.03 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 73.63 Bn |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2019 | 39.19 Bn |
| May 31, 2019 | 38.60 Bn |
| Feb 28, 2019 | 38.95 Bn |
| Nov 30, 2018 | 37.01 Bn |
| Sep 30, 2018 | 38.26 Bn |
| Jun 30, 2018 | 38.79 Bn |
| Mar 31, 2018 | 38.67 Bn |
| Dec 31, 2017 | 36.99 Bn |
| Sep 30, 2017 | 36.97 Bn |
| Jun 30, 2017 | 37.64 Bn |
| Mar 31, 2017 | 35.35 Bn |
| Dec 31, 2016 | 34.73 Bn |
| Sep 30, 2016 | 35.83 Bn |
| Jun 30, 2016 | 34.74 Bn |
| Mar 31, 2016 | 32.87 Bn |
| Dec 31, 2015 | 35.85 Bn |
| Sep 30, 2015 | 40.07 Bn |
| Jun 30, 2015 | 41.82 Bn |
| Mar 31, 2015 | 41.59 Bn |
| Dec 31, 2014 | 42.24 Bn |
API Access
Jefferies Financial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();