Re (RMAX) Property, Plant & Equipment (Net) (2012 - 2026)
Re's Property, Plant & Equipment (Net) came in at $5.52 million for Q2 2026, down 20.0% from $6.9 million a year earlier and down 2.7% from the prior quarter.
Re (RMAX) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Re's Property, Plant & Equipment (Net) was $6 million, down 20.9% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last four years, with a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $7.58 million in FY2024 (-12.2%), $8.63 million in FY2023 (-11.8%), $9.79 million in FY2022 (-22.8%) and $12.69 million in FY2021 (+61.2%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q2 2020.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 17 consecutive quarters, with an average decline of 17.2% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2021 (growth of 107.0%), and the weakest in Q4 2022 (a decline of 22.8%).
- Business Quant data shows RMAX's Property, Plant & Equipment (Net) at $5.67 million (Q1 2026), $6 million (Q4 2025) and $6.44 million (Q3 2025) in the three quarters before Q2 2026.
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 | Re | 263.49 Mn | -673.06 Mn | - | 5.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.52 Mn |
| Mar 31, 2026 | 5.67 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 6.44 Mn |
| Jun 30, 2025 | 6.90 Mn |
| Mar 31, 2025 | 7.09 Mn |
| Dec 31, 2024 | 7.58 Mn |
| Sep 30, 2024 | 8.30 Mn |
| Jun 30, 2024 | 8.58 Mn |
| Mar 31, 2024 | 8.94 Mn |
| Dec 31, 2023 | 8.63 Mn |
| Sep 30, 2023 | 8.42 Mn |
| Jun 30, 2023 | 8.77 Mn |
| Mar 31, 2023 | 9.25 Mn |
| Dec 31, 2022 | 9.79 Mn |
| Sep 30, 2022 | 9.76 Mn |
| Jun 30, 2022 | 10.47 Mn |
| Mar 31, 2022 | 10.48 Mn |
| Dec 31, 2021 | 12.69 Mn |
| Sep 30, 2021 | 12.46 Mn |
Re 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=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "RMAX", "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=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();