Invitation Homes (INVH) Consolidated Net Income (2016 - 2026)
Invitation Homes' Consolidated Net Income was $159.09 million in Q3 2026, up 15.9% from $137.21 million a year earlier but down 27.6% from the prior quarter.
Invitation Homes (INVH) Consolidated Net Income (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Invitation Homes' Consolidated Net Income was $684.86 million through Sep 30, 2026, up 16.4% year-over-year; for FY2025, it was $589.91 million, up 29.5% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- In earlier years, Consolidated 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%).
- Quarterly Consolidated Net Income has moved between $73.43 million (Q2 2024) and $219.65 million (Q2 2026) over five years.
- Compared with a year earlier, Consolidated Net Income was higher in seven of the last eight quarters, with growth averaging 29.0%.
- The best year-over-year quarter for Consolidated Net Income over five years was Q2 2025 (growth of 92.5%); the worst was Q2 2024 (a decline of 46.9%).
- Per Business Quant data, INVH's Consolidated Net Income in the three quarters before Q3 2026 was $219.65 million (Q2 2026), $161.07 million (Q1 2026) and $145.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 414.82 Mn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 879.90 Mn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 574.13 Mn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 378.35 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 432.14 Mn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 67.28 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 259.45 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | 346.85 Mn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 117.74 Mn |
| 10 | Invitation Homes | 15.95 Bn | 15.55 Bn | - | 159.09 Mn |
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 |
Invitation Homes Consolidated 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=consolidated-net-income&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();