Jones Lang Lasalle (JLL) Non-cash Items (2015 - 2020)
Jones Lang Lasalle's Non-cash Items was $51.6 million in Q1 2017, up 36.1% from $37.9 million a year earlier.
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Analysis
Jones Lang Lasalle (JLL) Non-cash Items (2015 - 2020) Analysis & Trends
On a trailing twelve-month basis, Jones Lang Lasalle's Non-cash Items was $162.9 million through Mar 31, 2017, up 84.3% year-over-year.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 49.90 Mn |
| Jun 30, 2020 | 56.70 Mn |
| Mar 31, 2020 | 132.20 Mn |
| Sep 30, 2019 | 61.30 Mn |
| Jun 30, 2019 | 70.40 Mn |
| Mar 31, 2019 | 37.50 Mn |
| Sep 30, 2018 | 53.60 Mn |
| Jun 30, 2018 | 31.00 Mn |
| Mar 31, 2018 | 29.70 Mn |
| Sep 30, 2017 | 33.80 Mn |
| Jun 30, 2017 | 37.00 Mn |
| Mar 31, 2017 | 51.60 Mn |
| Sep 30, 2016 | 51.20 Mn |
| Jun 30, 2016 | 22.20 Mn |
| Mar 31, 2016 | 37.90 Mn |
| Sep 30, 2015 | 12.80 Mn |
| Jun 30, 2015 | 8.70 Mn |
| Mar 31, 2015 | 29.00 Mn |
API Access
Jones Lang Lasalle Non-cash Items 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=non-cash-items&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();