Newmark (NMRK) Acquisitions (2017 - 2022)
Newmark (NMRK) reported Acquisitions of $64.25 million for FY2022, down 7.9% from $69.76 million in FY2021.
Analysis
Newmark (NMRK) Acquisitions (2017 - 2022) Analysis & Trends
Dating back to FY2017, Newmark's Acquisitions record includes 6 years.
- Five-year annual Acquisitions spans a low of $5.85 million in FY2020 and a high of $69.76 million in FY2021.
- According to Business Quant data, Acquisitions came in at $69.76 million in FY2021, $5.85 million in FY2020 (-82.8%), $33.94 million in FY2019 (-1.7%) and $34.51 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 38.15 Bn | 31.46 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 19.88 Bn | -7.30 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 13.99 Bn | 12.07 Bn | - | - |
| 4 | Compass | 6.83 Bn | 5.29 Bn | - | - |
| 5 | Colliers International | 4.53 Bn | 3.60 Bn | 635.11 Mn | -725.07 Mn |
| 6 | Cushman & Wakefield | 2.59 Bn | 65.73 Mn | 512.00 Mn | - |
| 7 | Newmark | 2.02 Bn | 1.09 Bn | - | - |
| 8 | Marcus & Millichap | 1.03 Bn | 131.12 Mn | - | - |
| 9 | Agnt | 622.27 Mn | 151.96 Mn | 98.80 Mn | - |
| 10 | Rmr | 294.43 Mn | 44.51 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 64.25 Mn |
| Dec 31, 2021 | 10.82 Mn |
| Sep 30, 2021 | 15.40 Mn |
| Jun 30, 2021 | 4.56 Mn |
| Mar 31, 2021 | 38.97 Mn |
| Mar 31, 2020 | 5.85 Mn |
| Dec 31, 2019 | 15.73 Mn |
| Sep 30, 2019 | 2.01 Mn |
| Jun 30, 2019 | 16.20 Mn |
| Dec 31, 2018 | 1.98 Mn |
| Sep 30, 2018 | 27.28 Mn |
| Jun 30, 2018 | 4.50 Mn |
| Mar 31, 2018 | 758,000.00 |
| Mar 31, 2017 | 10.51 Mn |
API Access
Newmark Acquisitions 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=acquisitions&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();