Jones Lang Lasalle (JLL) Payout Ratio (2012 - 2020)
Jones Lang Lasalle's Payout Ratio came in at 0.06 for Q4 2020, down 27.4% from 0.08 a year earlier and down 42.1% from the prior quarter.
Powered by 
Analysis
Jones Lang Lasalle (JLL) Payout Ratio (2012 - 2020) Analysis & Trends
For FY2019, Jones Lang Lasalle's Payout Ratio was 0.08, up 2.3% from FY2018.
- Going back by year, Payout Ratio was 0.08 in FY2018 (-34.9%), 0.12 in FY2017 (+34.3%), 0.09 in FY2016 (+52.9%) and 0.06 in FY2015 (+2.8%).
- The Q4 2020 figure represents the lowest quarterly Payout Ratio since Q4 2015.
- Year-over-year, Payout Ratio increased in two of the last four quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Payout Ratio over five years came in Q4 2016 (growth of 59.1%), and the weakest in Q4 2018 (a decline of 36.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 0.06 |
| Sep 30, 2020 | 0.10 |
| Dec 31, 2019 | 0.08 |
| Sep 30, 2019 | 0.08 |
| Dec 31, 2018 | 0.07 |
| Sep 30, 2018 | 0.09 |
| Dec 31, 2017 | 0.12 |
| Sep 30, 2017 | 0.08 |
| Dec 31, 2016 | 0.09 |
| Sep 30, 2016 | 0.07 |
| Dec 31, 2015 | 0.06 |
| Sep 30, 2015 | 0.05 |
| Dec 31, 2014 | 0.06 |
| Sep 30, 2014 | 0.06 |
| Dec 31, 2013 | 0.07 |
| Sep 30, 2013 | 0.07 |
| Dec 31, 2012 | 0.08 |
API Access
Jones Lang Lasalle Payout 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=payout-ratio&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-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=payout-ratio&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();