Invitation Homes (INVH) Land & Improvements (2016 - 2026)
Invitation Homes' (INVH) quarterly Land & Improvements came in at $4.9 billion in Q2 2026, down 0.91% quarter-over-quarter from $5.0 billion in Q1 2026.
Invitation Homes (INVH) Land & Improvements (2016 - 2026) Analysis & Trends
Invitation Homes (INVH) has reported Land & Improvements for 5 consecutive years, with $4.9 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Land & Improvements changed N/A year-over-year to $4.9 billion in Q2 2026; TTM through Jun 2026 was $4.9 billion, a N/A change from a year earlier, with the FY2025 full-year figure at $5.0 billion, changed N/A from the prior year.
- Land & Improvements was $4.9 billion for Q2 2026 at Invitation Homes, down from $5.0 billion in the prior quarter.
- Over five years, Land & Improvements peaked at $5.0 billion in Q4 2025 and troughed at $4.9 billion in Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | - |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 18.91 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 6.00 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 3.26 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 5.52 Bn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 4.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.92 Bn |
| Mar 31, 2026 | 4.96 Bn |
| Dec 31, 2025 | 4.99 Bn |
| Dec 31, 2018 | 4.56 Bn |
| Dec 31, 2017 | 4.65 Bn |
| Dec 31, 2016 | 2.70 Bn |
Invitation Homes 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=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "INVH", "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=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();