Jones Lang Lasalle (JLL) Dividend Coverage Ratio (2011 - 2019)
Jones Lang Lasalle's (JLL) Dividend Coverage Ratio came in at 12.00 for Q4 2019, up 12.8% from 10.64 a year earlier.
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Analysis
Jones Lang Lasalle (JLL) Dividend Coverage Ratio (2011 - 2019) Analysis & Trends
For FY2019, Jones Lang Lasalle's Dividend Coverage Ratio stood at 12.52, down 2.3% from FY2018.
- In prior years, Jones Lang Lasalle's Dividend Coverage Ratio was 12.81 in FY2018 (+53.6%), 8.34 in FY2017 (-25.6%), 11.20 in FY2016 (-34.6%) and 17.13 in FY2015 (-2.8%).
- The Q4 2019 figure stands as the highest quarterly Dividend Coverage Ratio since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | - |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 2.53 |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | - |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | 0.42 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 12.00 |
| Dec 31, 2018 | 10.64 |
| Dec 31, 2017 | 4.48 |
| Dec 31, 2016 | 10.88 |
| Dec 31, 2015 | 14.73 |
| Dec 31, 2014 | 16.99 |
| Dec 31, 2013 | 14.71 |
| Sep 30, 2013 | 20,952.33 |
| Dec 31, 2012 | 11.70 |
| Dec 31, 2011 | 12.59 |
| Sep 30, 2011 | 33,880.00 |
API Access
Jones Lang Lasalle Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();