Invitation Homes (INVH) Gains on Sale of Real Estate (2016 - 2026)
Invitation Homes' Gains from Sales and Divestitures came in at $132.31 million for Q2 2026, up 184.0% from $46.59 million a year earlier and up 51.9% from the prior quarter.
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Analysis
Invitation Homes (INVH) Gains on Sale of Real Estate (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Invitation Homes reported Gains from Sales and Divestitures of $319.38 million, up 18.7% year-over-year; for FY2025, it was $218.24 million, down 10.8% from FY2024.
- Gains from Sales and Divestitures carries a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by year, Gains from Sales and Divestitures was $244.55 million in FY2024 (+33.2%), $183.54 million in FY2023 (+102.4%), $90.7 million in FY2022 (+51.1%) and $60.01 million in FY2021 (+9.9%).
- The Q2 2026 figure represents the highest quarterly Gains from Sales and Divestitures in data going back to Q1 2016.
- Year-over-year, Gains from Sales and Divestitures increased in five of the last eight quarters, with growth averaging 36.9%.
- The fastest year-over-year change in Gains from Sales and Divestitures over five years came in Q2 2026 (growth of 184.0%), and the weakest in Q4 2025 (a decline of 47.1%).
- Business Quant data shows INVH's Gains from Sales and Divestitures at $87.09 million (Q1 2026), $54.46 million (Q4 2025) and $45.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - |
| 10 | Invitation Homes | 15.95 Bn | 15.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.18 Mn |
| Jun 30, 2026 | 132.31 Mn |
| Mar 31, 2026 | 87.09 Mn |
| Dec 31, 2025 | 54.46 Mn |
| Sep 30, 2025 | 45.52 Mn |
| Jun 30, 2025 | 46.59 Mn |
| Mar 31, 2025 | 71.67 Mn |
| Dec 31, 2024 | 103.02 Mn |
| Sep 30, 2024 | 47.77 Mn |
| Jun 30, 2024 | 43.27 Mn |
| Mar 31, 2024 | 50.50 Mn |
| Dec 31, 2023 | 49.09 Mn |
| Sep 30, 2023 | 57.99 Mn |
| Jun 30, 2023 | 46.79 Mn |
| Mar 31, 2023 | 29.67 Mn |
| Dec 31, 2022 | 21.21 Mn |
| Sep 30, 2022 | 23.95 Mn |
| Jun 30, 2022 | 27.51 Mn |
| Mar 31, 2022 | 18.03 Mn |
| Dec 31, 2021 | 14.56 Mn |
API Access
Invitation Homes Gains on Sale of Real Estate 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=gains-on-sale-of-real-estate&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-on-sale-of-real-estate", "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=gains-on-sale-of-real-estate&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();