Newmark (NMRK) Property, Plant & Equipment (Net) (2017 - 2026)
Newmark (NMRK) recorded Property, Plant & Equipment (Net) of $160.95 million in Q2 2026, up 1.1% from $159.27 million a year earlier and up 4.2% from the prior quarter.
Newmark (NMRK) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Newmark reported Property, Plant & Equipment (Net) of $156.49 million, down 6.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $166.73 million in FY2024 (-6.4%), $178.04 million in FY2023 (+14.4%), $155.64 million in FY2022 (+14.6%) and $135.76 million in FY2021 (+40.9%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in 1 of the last eight quarters, with an average decline of 5.3%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 40.9% in Q4 2021, against a decline of 9.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $154.42 million (Q1 2026), $156.49 million (Q4 2025) and $157.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 1.04 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 274.18 Mn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 635.50 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 222.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 267.41 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 146.20 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 160.95 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 23.11 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 11.96 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | 225.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.95 Mn |
| Mar 31, 2026 | 154.42 Mn |
| Dec 31, 2025 | 156.49 Mn |
| Sep 30, 2025 | 157.08 Mn |
| Jun 30, 2025 | 159.27 Mn |
| Mar 31, 2025 | 158.96 Mn |
| Dec 31, 2024 | 166.73 Mn |
| Sep 30, 2024 | 173.27 Mn |
| Jun 30, 2024 | 173.72 Mn |
| Mar 31, 2024 | 173.69 Mn |
| Dec 31, 2023 | 178.04 Mn |
| Sep 30, 2023 | 176.83 Mn |
| Jun 30, 2023 | 176.81 Mn |
| Mar 31, 2023 | 170.91 Mn |
| Dec 31, 2022 | 155.64 Mn |
| Sep 30, 2022 | 148.54 Mn |
| Jun 30, 2022 | 138.12 Mn |
| Mar 31, 2022 | 137.49 Mn |
| Dec 31, 2021 | 135.76 Mn |
| Sep 30, 2021 | 133.57 Mn |
Newmark Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();