Newmark (NMRK) Shares Outstanding (Entity) (2017 - 2026)
Newmark (NMRK) posted Shares Outstanding (Entity) of 159.29 million for Q2 2026, up 3.2% from 154.35 million a year earlier and up 2.1% from the prior quarter.
Newmark (NMRK) Shares Outstanding (Entity) (2017 - 2026) Analysis & Trends
For FY2025, Newmark's Shares Outstanding (Entity) came in at 160.66 million, up 7.5% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In prior years, Newmark's Shares Outstanding (Entity) was 149.51 million in FY2024 (-2.1%), 152.64 million in FY2023 (+1.5%), 150.38 million in FY2022 (-10.6%) and 168.27 million in FY2021 (+4.4%).
- Quarterly Shares Outstanding (Entity) has run from a low of 146.96 million in Q3 2024 to a high of 174.41 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) increased in five of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2021, with growth of 9.9%; the weakest was Q3 2022, with a decline of 13.7%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 155.99 million (Q1 2026), 160.66 million (Q4 2025) and 157.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 289.85 Mn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 46.01 Mn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 753.28 Mn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 234.50 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 159.29 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 37.87 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 167.12 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | 32.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.29 Mn |
| Mar 31, 2026 | 155.99 Mn |
| Dec 31, 2025 | 160.66 Mn |
| Sep 30, 2025 | 157.49 Mn |
| Jun 30, 2025 | 154.35 Mn |
| Mar 31, 2025 | 161.92 Mn |
| Dec 31, 2024 | 149.51 Mn |
| Sep 30, 2024 | 146.96 Mn |
| Jun 30, 2024 | 150.38 Mn |
| Mar 31, 2024 | 152.68 Mn |
| Dec 31, 2023 | 152.64 Mn |
| Sep 30, 2023 | 151.46 Mn |
| Jun 30, 2023 | 152.23 Mn |
| Mar 31, 2023 | 153.14 Mn |
| Dec 31, 2022 | 150.38 Mn |
| Sep 30, 2022 | 150.53 Mn |
| Jun 30, 2022 | 160.00 Mn |
| Mar 31, 2022 | 168.56 Mn |
| Dec 31, 2021 | 168.27 Mn |
| Sep 30, 2021 | 174.41 Mn |
Newmark Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();