Newmark (NMRK) Shares Outstanding (Diluted) (2017 - 2026)
Newmark's Shares Outstanding (Diluted) came in at 251.86 million for Q2 2026, down 0.3% from 252.61 million a year earlier and down 1.6% from the prior quarter.
Newmark (NMRK) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Newmark's Shares Outstanding (Diluted) was 253.45 million, up 42.6% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 177.69 million in FY2024 (+0.7%), 176.38 million in FY2023 (-28.1%), 245.18 million in FY2022 (+25.2%) and 195.81 million in FY2021 (+9.0%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 172.56 million (Q1 2023) to 256.04 million (Q1 2026).
- Year-over-year, Shares Outstanding (Diluted) increased in five of the last eight quarters, with growth averaging 11.2%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2026 (growth of 45.2%), and the weakest in Q1 2023 (a decline of 31.7%).
- Business Quant data shows NMRK's Shares Outstanding (Diluted) at 256.04 million (Q1 2026), 253.45 million (Q4 2025) and 251.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 1.16 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 293.86 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 46.93 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 842.38 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 236.30 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 251.86 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 38.02 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 166.16 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 16.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.86 Mn |
| Mar 31, 2026 | 256.04 Mn |
| Dec 31, 2025 | 253.45 Mn |
| Sep 30, 2025 | 251.67 Mn |
| Jun 30, 2025 | 252.61 Mn |
| Mar 31, 2025 | 176.35 Mn |
| Dec 31, 2024 | 177.69 Mn |
| Sep 30, 2024 | 254.97 Mn |
| Jun 30, 2024 | 255.60 Mn |
| Mar 31, 2024 | 174.77 Mn |
| Dec 31, 2023 | 176.38 Mn |
| Sep 30, 2023 | 247.24 Mn |
| Jun 30, 2023 | 244.95 Mn |
| Mar 31, 2023 | 172.56 Mn |
| Dec 31, 2022 | 245.18 Mn |
| Sep 30, 2022 | 243.47 Mn |
| Jun 30, 2022 | 247.99 Mn |
| Mar 31, 2022 | 252.82 Mn |
| Dec 31, 2021 | 195.81 Mn |
| Sep 30, 2021 | 205.28 Mn |
Newmark Shares Outstanding (Diluted) 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-diluted&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();