Invitation Homes (INVH) Net Income (2016 - 2026)
Invitation Homes' Net Income came in at $219.65 million for Q2 2026, up 55.4% from $141.37 million a year earlier and up 36.4% from the prior quarter.
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Analysis
Invitation Homes (INVH) Net Income (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Invitation Homes reported Net Income of $662.98 million, up 21.2% year-over-year; for FY2025, it came in at $589.91 million, up 29.5% from FY2024.
- Net Income carries a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- Going back by year, Net Income was $455.37 million in FY2024 (-12.6%), $521.03 million in FY2023 (+35.4%), $384.8 million in FY2022 (+46.4%) and $262.78 million in FY2021 (+33.1%).
- The Q2 2026 figure represents the highest quarterly Net Income in data going back to Q1 2016.
- Year-over-year, Net Income increased in six of the last eight quarters, with growth averaging 23.6%.
- The fastest year-over-year change in Net Income over five years came in Q3 2021 (growth of 111.5%), and the weakest in Q2 2024 (a decline of 46.9%).
- Business Quant data shows INVH's Net Income at $161.07 million (Q1 2026), $145.05 million (Q4 2025) and $137.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 170.14 Bn | 156.17 Bn | 1.47 Bn | 414.82 Mn |
| 2 | Prologis | 120.69 Bn | 114.64 Bn | - | 879.90 Mn |
| 3 | Simon Property | 70.61 Bn | 66.46 Bn | - | 568.54 Mn |
| 4 | Public Storage | 59.72 Bn | 58.45 Bn | - | 378.35 Mn |
| 5 | Realty Income | 52.99 Bn | 51.21 Bn | - | 370.51 Mn |
| 6 | Ventas | 43.55 Bn | 42.22 Bn | - | 67.28 Mn |
| 7 | Extra Space Storage | 31.90 Bn | 31.90 Bn | - | 259.45 Mn |
| 8 | Vici Properties | 26.83 Bn | 25.18 Bn | 1.06 Bn | 346.85 Mn |
| 9 | Vivmark Residential | 23.14 Bn | 22.92 Bn | - | 117.74 Mn |
| 10 | Invitation Homes | 15.60 Bn | 15.20 Bn | - | 159.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 159.09 Mn |
| Jun 30, 2026 | 219.65 Mn |
| Mar 31, 2026 | 161.07 Mn |
| Dec 31, 2025 | 145.05 Mn |
| Sep 30, 2025 | 137.21 Mn |
| Jun 30, 2025 | 141.37 Mn |
| Mar 31, 2025 | 166.28 Mn |
| Dec 31, 2024 | 143.57 Mn |
| Sep 30, 2024 | 95.58 Mn |
| Jun 30, 2024 | 73.43 Mn |
| Mar 31, 2024 | 142.79 Mn |
| Dec 31, 2023 | 129.94 Mn |
| Sep 30, 2023 | 132.22 Mn |
| Jun 30, 2023 | 138.28 Mn |
| Mar 31, 2023 | 120.58 Mn |
| Dec 31, 2022 | 100.86 Mn |
| Sep 30, 2022 | 79.43 Mn |
| Jun 30, 2022 | 111.51 Mn |
| Mar 31, 2022 | 93.00 Mn |
| Dec 31, 2021 | 74.87 Mn |
API Access
Invitation Homes Net Income 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=net-income&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();