Newmark (NMRK) Prepaid Assets (2017 - 2019)
Newmark (NMRK) posted Prepaid Assets of $21.59 million for Q3 2019, up 44.0% from $15 million a year earlier and up 51.7% from the prior quarter.
Analysis
Newmark (NMRK) Prepaid Assets (2017 - 2019) Analysis & Trends
At the end of FY2018, Newmark's Prepaid Assets came in at $15.57 million, up 22.5% from FY2017.
- In prior years, Newmark's Prepaid Assets was $12.71 million in FY2017.
- The Q3 2019 figure stands as the highest quarterly Prepaid Assets in data going back to Q4 2017.
- On a year-over-year basis, Prepaid Assets increased in two of the last four quarters, with growth averaging 12.8%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $14.23 million (Q2 2019), $14.07 million (Q1 2019) and $15.57 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 21.59 Mn |
| Jun 30, 2019 | 14.23 Mn |
| Mar 31, 2019 | 14.07 Mn |
| Dec 31, 2018 | 15.57 Mn |
| Sep 30, 2018 | 15.00 Mn |
| Jun 30, 2018 | 14.61 Mn |
| Mar 31, 2018 | 16.11 Mn |
| Dec 31, 2017 | 12.71 Mn |
API Access
Newmark Prepaid Assets 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=prepaid-assets&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "NMRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();