Reitar Logtech Holdings (RITRF) Property, Plant & Equipment (Net) (2023 - 2026)
Reitar Logtech Holdings' Property, Plant & Equipment (Net) came in at $755,348 for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 1.7% from $742,846 a year earlier.
Reitar Logtech Holdings (RITRF) Property, Plant & Equipment (Net) (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Reitar Logtech Holdings' Property, Plant & Equipment (Net) was $752,638, up 1.3% from FY2025.
- Property, Plant & Equipment (Net) carries a three-year compound annual growth rate of -2.6% (FY2023 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $742,811 in FY2025 (+28.7%), $577,128 in FY2024 (-29.2%) and $815,277 in FY2023.
- The five-year range for quarterly Property, Plant & Equipment (Net) is $429,930 (fiscal Q2 2025) to $931,334 (fiscal 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 | Reitar Logtech Holdings | 624,437.49 | 8.75 Mn | - | 755,348.41 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 755,348.41 |
| Sep 30, 2025 | 931,334.00 |
| Mar 31, 2025 | 742,845.53 |
| Sep 30, 2024 | 429,930.00 |
| Mar 31, 2024 | 577,566.47 |
| Mar 31, 2023 | 815,388.95 |
Reitar Logtech Holdings 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=RITRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "RITRF", "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=RITRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();