Jefferies Financial (JEF) Other Non-Current Liabilities (2009 - 2019)
Jefferies Financial (JEF) posted Other Non-Current Liabilities of $29.6 million for fiscal Q3 2019 (quarter ended Aug 31, 2019), down 32.0% from the prior quarter.
Powered by 
Analysis
Jefferies Financial (JEF) Other Non-Current Liabilities (2009 - 2019) Analysis & Trends
At the end of FY2018 (ended Nov 30, 2018), Jefferies Financial's Other Non-Current Liabilities came in at $45.9 million.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 85.3% (FY2013 to FY2018).
- In prior fiscal years, Jefferies Financial's Other Non-Current Liabilities was $34 million in FY2016 (+134.5%), $14.5 million in FY2015 (+70.6%) and $8.5 million in FY2014 (+304.8%).
- The fiscal Q3 2019 figure stands as the lowest quarterly Other Non-Current Liabilities since fiscal Q1 2016.
- On a year-over-year basis, Other Non-Current Liabilities increased in two of the last four quarters, with an average decline of 5.2%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q4 2014, with growth of 304.8%; the weakest was fiscal Q2 2018, with a decline of 20.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $43.5 million (Q2 2019), $48.6 million (Q1 2019) and $45.9 million (Q4 2018).
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, 2019 | 29.60 Mn |
| May 31, 2019 | 43.50 Mn |
| Feb 28, 2019 | 48.60 Mn |
| Nov 30, 2018 | 45.90 Mn |
| Sep 30, 2018 | 44.10 Mn |
| Jun 30, 2018 | 45.90 Mn |
| Mar 31, 2018 | 44.80 Mn |
| Dec 31, 2017 | 38.30 Mn |
| Sep 30, 2017 | 52.90 Mn |
| Jun 30, 2017 | 57.80 Mn |
| Mar 31, 2017 | 43.20 Mn |
| Dec 31, 2016 | 34.00 Mn |
| Sep 30, 2016 | 42.00 Mn |
| Jun 30, 2016 | 33.90 Mn |
| Mar 31, 2016 | 17.40 Mn |
| Dec 31, 2015 | 14.50 Mn |
| Sep 30, 2015 | 14.70 Mn |
| Jun 30, 2015 | 14.60 Mn |
| Mar 31, 2015 | 8.20 Mn |
| Dec 31, 2014 | 8.50 Mn |
API Access
Jefferies Financial Other 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=other-non-current-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();