Newmark (NMRK) Capital Expenditures (2017 - 2026)
Newmark (NMRK) posted Capital Expenditures of $20.79 million for Q2 2026, up 219.7% from $6.5 million a year earlier and up 103.6% from the prior quarter.
Newmark (NMRK) Capital Expenditures (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Newmark was $48.42 million, up 78.4% year-over-year; for FY2025, it was $29.37 million, down 6.8% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, though with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Newmark's Capital Expenditures was $31.51 million in FY2024 (-43.1%), $55.36 million in FY2023 (-11.0%), $62.19 million in FY2022 (+215.3%) and $19.72 million in FY2021 (+0.5%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q4 2022.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with growth averaging 30.3% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2022, with growth of 334.2%; the weakest was Q1 2024, with a decline of 61.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $10.21 million (Q1 2026), $9.69 million (Q4 2025) and $7.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 172.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 50.10 Mn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 11.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | -31.31 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 8.50 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 20.79 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 945,000.00 |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 1.06 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 2.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.79 Mn |
| Mar 31, 2026 | 10.21 Mn |
| Dec 31, 2025 | 9.69 Mn |
| Sep 30, 2025 | 7.73 Mn |
| Jun 30, 2025 | 6.50 Mn |
| Mar 31, 2025 | 5.44 Mn |
| Dec 31, 2024 | 6.02 Mn |
| Sep 30, 2024 | 9.18 Mn |
| Jun 30, 2024 | 9.27 Mn |
| Mar 31, 2024 | 7.04 Mn |
| Dec 31, 2023 | 11.54 Mn |
| Sep 30, 2023 | 10.19 Mn |
| Jun 30, 2023 | 15.46 Mn |
| Mar 31, 2023 | 18.17 Mn |
| Dec 31, 2022 | 22.17 Mn |
| Sep 30, 2022 | 22.49 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 8.67 Mn |
| Dec 31, 2021 | 8.44 Mn |
| Sep 30, 2021 | 5.18 Mn |
Newmark Capital Expenditures 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=capital-expenditures&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();