Jones Lang Lasalle (JLL) Interest Expenses (2009 - 2015)
Jones Lang Lasalle's Interest Expenses was $7.76 million in Q4 2015, up 16.5% from $6.66 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Interest Expenses (2009 - 2015) Analysis & Trends
For FY2015, Interest Expenses at Jones Lang Lasalle came in at $28.13 million, down 0.7% from FY2014.
- Interest Expenses has now declined for six consecutive years, with a five-year compound annual growth rate of -9.3% (FY2010 to FY2015).
- In earlier years, Interest Expenses was $28.32 million in FY2014 (-18.4%), $34.72 million in FY2013 (-1.3%), $35.17 million in FY2012 (-1.2%) and $35.59 million in FY2011 (-22.3%).
- The Q4 2015 figure marks the highest quarterly Interest Expenses since Q4 2013.
- Compared with a year earlier, Interest Expenses was higher in 1 of the last eight quarters, with an average decline of 9.4%.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2012 (growth of 23.4%); the worst was Q1 2011 (a decline of 29.7%).
- Per Business Quant data, JLL's Interest Expenses in the three quarters before Q4 2015 was $6.77 million (Q3 2015), $7.56 million (Q2 2015) and $6.04 million (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 3.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 7.76 Mn |
| Sep 30, 2015 | 6.77 Mn |
| Jun 30, 2015 | 7.56 Mn |
| Mar 31, 2015 | 6.04 Mn |
| Dec 31, 2014 | 6.66 Mn |
| Sep 30, 2014 | 7.36 Mn |
| Jun 30, 2014 | 7.66 Mn |
| Mar 31, 2014 | 6.64 Mn |
| Dec 31, 2013 | 8.12 Mn |
| Sep 30, 2013 | 9.63 Mn |
| Jun 30, 2013 | 9.05 Mn |
| Mar 31, 2013 | 7.92 Mn |
| Dec 31, 2012 | 10.34 Mn |
| Sep 30, 2012 | 9.95 Mn |
| Jun 30, 2012 | 7.46 Mn |
| Mar 31, 2012 | 7.43 Mn |
| Dec 31, 2011 | 8.37 Mn |
| Sep 30, 2011 | 9.67 Mn |
| Jun 30, 2011 | 9.59 Mn |
| Mar 31, 2011 | 7.96 Mn |
API Access
Jones Lang Lasalle Interest Expenses 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=interest-expenses&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "JLL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();