Newmark (NMRK) Selling, General & Administrative (2017 - 2026)
Analysis
Newmark (NMRK) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.52 Bn | 32.82 Bn | 2.13 Bn | - |
| 2 | KE Holdings | 21.08 Bn | -6.10 Bn | 1.03 Bn | 300.18 Mn |
| 3 | Jones Lang Lasalle | 17.25 Bn | 15.25 Bn | - | - |
| 4 | Compass | 7.74 Bn | 6.19 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 435.30 Mn |
| 6 | Cushman & Wakefield | 3.36 Bn | 984.26 Mn | 486.30 Mn | 329.60 Mn |
| 7 | Newmark | 2.14 Bn | 1.21 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.04 Bn | 138.88 Mn | - | 71.69 Mn |
| 9 | Agnt | 552.16 Mn | 83.20 Mn | 90.97 Mn | 66.10 Mn |
| 10 | Rmr | 262.86 Mn | 12.94 Mn | - | 10.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.14 Mn |
| Mar 31, 2026 | 181.44 Mn |
| Dec 31, 2025 | 178.61 Mn |
| Sep 30, 2025 | 175.34 Mn |
| Jun 30, 2025 | 151.01 Mn |
| Mar 31, 2025 | 153.98 Mn |
| Dec 31, 2024 | 159.97 Mn |
| Sep 30, 2024 | 151.94 Mn |
| Jun 30, 2024 | 147.74 Mn |
| Mar 31, 2024 | 137.94 Mn |
| Dec 31, 2023 | 129.96 Mn |
| Sep 30, 2023 | 140.93 Mn |
| Jun 30, 2023 | 146.83 Mn |
| Mar 31, 2023 | 118.98 Mn |
| Dec 31, 2022 | 138.96 Mn |
| Sep 30, 2022 | 121.38 Mn |
| Jun 30, 2022 | 136.63 Mn |
| Mar 31, 2022 | 137.87 Mn |
| Dec 31, 2021 | 159.08 Mn |
| Sep 30, 2021 | 152.36 Mn |
API Access
Newmark Selling, General & Administrative 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=selling-general-and-administrative&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();