Newmark (NMRK) Long-Term Investments (2017 - 2019)
Newmark's Long-Term Investments came in at $102.43 million for Q3 2019, down 1.1% from $103.55 million a year earlier and down 3.4% from the prior quarter.
Newmark (NMRK) Long-Term Investments (2017 - 2019) Analysis & Trends
At the end of FY2018, Newmark's Long-Term Investments was $101.28 million, down 0.3% from FY2017.
- Going back by year, Long-Term Investments was $101.56 million in FY2017.
- The five-year range for quarterly Long-Term Investments is $101.28 million (Q4 2018) to $106.01 million (Q2 2019).
- Year-over-year, Long-Term Investments increased in 1 of the last four quarters, with an average decline of 0.6%.
- Business Quant data shows NMRK's Long-Term Investments at $106.01 million (Q2 2019), $101.28 million (Q1 2019) and $101.28 million (Q4 2018) in the three quarters before Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 2.88 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 853.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 873.60 Mn |
| 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 | 530.70 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 134.45 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 136.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 102.43 Mn |
| Jun 30, 2019 | 106.01 Mn |
| Mar 31, 2019 | 101.28 Mn |
| Dec 31, 2018 | 101.28 Mn |
| Sep 30, 2018 | 103.55 Mn |
| Jun 30, 2018 | 103.56 Mn |
| Mar 31, 2018 | 104.72 Mn |
| Dec 31, 2017 | 101.56 Mn |
Newmark Long-Term Investments 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=long-term-investments&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();