Realty Income (O) Land & Improvements (2009 - 2026)
Realty Income (O) posted Land & Improvements of $18.91 billion for Q2 2026, up 1.5% from the prior quarter.
Analysis
Realty Income (O) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Realty Income's Land & Improvements came in at $18.37 billion.
- The Q2 2026 figure stands as the highest quarterly Land & Improvements in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | - |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | - |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | 18.91 Bn |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 6.00 Bn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 5.52 Bn |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 3.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.91 Bn |
| Mar 31, 2026 | 18.63 Bn |
| Dec 31, 2025 | 18.37 Bn |
| Mar 31, 2018 | 4.26 Bn |
| Dec 31, 2017 | 4.08 Bn |
| Sep 30, 2017 | 3.97 Bn |
| Jun 30, 2017 | 3.92 Bn |
| Mar 31, 2017 | 3.83 Bn |
| Dec 31, 2016 | 3.75 Bn |
| Sep 30, 2016 | 3.53 Bn |
| Jun 30, 2016 | 3.44 Bn |
| Mar 31, 2016 | 3.39 Bn |
| Dec 31, 2015 | 3.29 Bn |
| Sep 30, 2015 | 3.25 Bn |
| Jun 30, 2015 | 3.22 Bn |
| Mar 31, 2015 | 3.08 Bn |
| Dec 31, 2014 | 3.05 Bn |
| Sep 30, 2014 | 3.01 Bn |
| Jun 30, 2014 | 2.99 Bn |
| Mar 31, 2014 | 2.92 Bn |
API Access
Realty Income Land & Improvements 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=land-and-improvements&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "O", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();