Newmark (NMRK) Operating Expenses (2017 - 2026)
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Analysis
Newmark (NMRK) Operating Expenses (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.04 Bn | 33.34 Bn | 2.13 Bn | - |
| 2 | KE Holdings | 20.34 Bn | -6.84 Bn | 1.03 Bn | 587.69 Mn |
| 3 | Jones Lang Lasalle | 17.40 Bn | 15.39 Bn | - | 6.89 Bn |
| 4 | Compass | 8.16 Bn | 6.61 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 536.13 Mn |
| 6 | Cushman & Wakefield | 3.44 Bn | 1.06 Bn | 486.30 Mn | 2.68 Bn |
| 7 | Newmark | 2.16 Bn | 1.23 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.00 Bn | 98.21 Mn | - | 200.70 Mn |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | 87.85 Mn |
| 10 | Rmr | 264.79 Mn | 14.88 Mn | - | 162.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 848.02 Mn |
| Mar 31, 2026 | 820.20 Mn |
| Dec 31, 2025 | 882.39 Mn |
| Sep 30, 2025 | 820.33 Mn |
| Jun 30, 2025 | 716.60 Mn |
| Mar 31, 2025 | 683.76 Mn |
| Dec 31, 2024 | 769.57 Mn |
| Sep 30, 2024 | 645.18 Mn |
| Jun 30, 2024 | 598.29 Mn |
| Mar 31, 2024 | 569.10 Mn |
| Dec 31, 2023 | 677.74 Mn |
| Sep 30, 2023 | 589.44 Mn |
| Jun 30, 2023 | 562.23 Mn |
| Mar 31, 2023 | 529.60 Mn |
| Dec 31, 2022 | 585.66 Mn |
| Sep 30, 2022 | 606.03 Mn |
| Jun 30, 2022 | 650.91 Mn |
| Mar 31, 2022 | 579.66 Mn |
| Dec 31, 2021 | 800.71 Mn |
| Sep 30, 2021 | 665.28 Mn |
API Access
Newmark Operating 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=operating-expenses&ticker=NMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();