Newmark (NMRK) Other Accumulated Expenses (2017 - 2020)
Newmark (NMRK) posted Other Accumulated Expenses of $3.93 million for Q4 2020, down 92.0% from $49.1 million a year earlier.
Analysis
Newmark (NMRK) Other Accumulated Expenses (2017 - 2020) Analysis & Trends
Since Q4 2017, Newmark has reported Other Accumulated Expenses for 10 quarters.
- Annual Other Accumulated Expenses shows a three-year compound annual growth rate of -51.4% (FY2017 to FY2020).
- In prior years, Newmark's Other Accumulated Expenses was $49.1 million in FY2019 (+263.5%), $13.51 million in FY2018 (-60.5%) and $34.17 million in FY2017.
- The Q4 2020 figure stands as the lowest quarterly Other Accumulated Expenses in data going back to Q4 2017.
- On a year-over-year basis, Other Accumulated Expenses increased in 1 of the last five quarters, with an average decline of 19.8%.
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 | 3.93 Mn |
| Dec 31, 2019 | 49.10 Mn |
| Sep 30, 2019 | 19.80 Mn |
| Jun 30, 2019 | 25.51 Mn |
| Mar 31, 2019 | 29.27 Mn |
| Dec 31, 2018 | 13.51 Mn |
| Sep 30, 2018 | 397.99 Mn |
| Jun 30, 2018 | 267.40 Mn |
| Mar 31, 2018 | 197.20 Mn |
| Dec 31, 2017 | 34.17 Mn |
API Access
Newmark Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();