Invitation Homes (INVH) Revenue (2016 - 2026)
Invitation Homes (INVH) reported Revenue of $747.55 million for Q2 2026, up 9.7% from $681.4 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Invitation Homes (INVH) Revenue (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Invitation Homes' Revenue came in at $2.86 billion, up 6.7% year-over-year; for FY2025, it came in at $2.73 billion, up 4.2% from FY2024.
- Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Revenue came in at $2.62 billion in FY2024 (+7.7%), $2.43 billion in FY2023 (+8.7%), $2.24 billion in FY2022 (+12.1%) and $2 billion in FY2021 (+9.5%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2016.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 6.0% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 4.0% (Q4 2025) and 13.4% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $734.11 million (Q1 2026), $685.25 million (Q4 2025) and $688.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 2.43 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.79 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 1.23 Bn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Invitation Homes | 15.69 Bn | 15.73 Bn | - | 747.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 747.55 Mn |
| Mar 31, 2026 | 734.11 Mn |
| Dec 31, 2025 | 685.25 Mn |
| Sep 30, 2025 | 688.17 Mn |
| Jun 30, 2025 | 681.40 Mn |
| Mar 31, 2025 | 674.48 Mn |
| Dec 31, 2024 | 659.13 Mn |
| Sep 30, 2024 | 660.32 Mn |
| Jun 30, 2024 | 653.45 Mn |
| Mar 31, 2024 | 646.04 Mn |
| Dec 31, 2023 | 624.32 Mn |
| Sep 30, 2023 | 617.70 Mn |
| Jun 30, 2023 | 600.37 Mn |
| Mar 31, 2023 | 589.89 Mn |
| Dec 31, 2022 | 579.84 Mn |
| Sep 30, 2022 | 568.68 Mn |
| Jun 30, 2022 | 557.30 Mn |
| Mar 31, 2022 | 532.31 Mn |
| Dec 31, 2021 | 520.23 Mn |
| Sep 30, 2021 | 509.53 Mn |
API Access
Invitation Homes Revenue 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=revenue&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();