Douglas Elliman (DOUG) Property, Plant & Equipment (Net) (2020 - 2026)
Douglas Elliman (DOUG) recorded Property, Plant & Equipment (Net) of $27.44 million in Q2 2026, down 23.8% from $36.02 million a year earlier and down 4.0% from the prior quarter.
Douglas Elliman (DOUG) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Douglas Elliman reported Property, Plant & Equipment (Net) of $30.15 million, down 20.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, with a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $37.7 million in FY2024 (-5.1%), $39.72 million in FY2023 (-4.8%), $41.72 million in FY2022 (+5.9%) and $39.38 million in FY2021 (-7.8%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 11 consecutive quarters, with an average decline of 13.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 10.8% in Q1 2023, against a decline of 23.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.57 million (Q1 2026), $30.15 million (Q4 2025) and $32.44 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 | Douglas Elliman | 141.79 Mn | -317.92 Mn | 41.42 Mn | 27.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.44 Mn |
| Mar 31, 2026 | 28.57 Mn |
| Dec 31, 2025 | 30.15 Mn |
| Sep 30, 2025 | 32.44 Mn |
| Jun 30, 2025 | 36.02 Mn |
| Mar 31, 2025 | 36.99 Mn |
| Dec 31, 2024 | 37.70 Mn |
| Sep 30, 2024 | 38.20 Mn |
| Jun 30, 2024 | 38.67 Mn |
| Mar 31, 2024 | 39.75 Mn |
| Dec 31, 2023 | 39.72 Mn |
| Sep 30, 2023 | 40.72 Mn |
| Jun 30, 2023 | 42.54 Mn |
| Mar 31, 2023 | 42.54 Mn |
| Dec 31, 2022 | 41.72 Mn |
| Sep 30, 2022 | 40.73 Mn |
| Jun 30, 2022 | 40.57 Mn |
| Mar 31, 2022 | 38.39 Mn |
| Dec 31, 2021 | 39.38 Mn |
| Dec 31, 2020 | 42.70 Mn |
Douglas Elliman 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=DOUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DOUG", "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=DOUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();