Rexford Industrial Realty (REXR) Land & Improvements (2012 - 2026)
Rexford Industrial Realty (REXR) posted Land & Improvements of $7.1 billion for Q2 2026, down 6.1% from the prior quarter.
Analysis
Rexford Industrial Realty (REXR) Land & Improvements (2012 - 2026) Analysis & Trends
At the end of FY2025, Rexford Industrial Realty's Land & Improvements came in at $7.69 billion.
- The Q2 2026 figure stands as the lowest quarterly Land & Improvements since Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Rexford Industrial Realty | 8.09 Bn | 8.44 Bn | - | 7.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10 Bn |
| Mar 31, 2026 | 7.56 Bn |
| Dec 31, 2025 | 7.69 Bn |
| Sep 30, 2015 | 445.45 Mn |
| Jun 30, 2015 | 420.35 Mn |
| Mar 31, 2015 | 392.59 Mn |
| Dec 31, 2014 | 368.03 Mn |
| Sep 30, 2014 | 325.28 Mn |
| Jun 30, 2014 | 298.71 Mn |
| Mar 31, 2014 | 231.73 Mn |
| Dec 31, 2013 | 216.08 Mn |
| Sep 30, 2013 | 216.52 Mn |
| Jun 30, 2013 | 189.13 Mn |
| Dec 31, 2012 | 154.41 Mn |
API Access
Rexford Industrial Realty 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=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "REXR", "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=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();