Invitation Homes (INVH) Rental Revenue (2016 - 2025)
Invitation Homes (INVH) posted Rental Revenue of $663.59 million for Q4 2025, up 4.0% from $638.05 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Invitation Homes (INVH) Rental Revenue (2016 - 2025) Analysis & Trends
For FY2025, Invitation Homes' Rental Revenue came in at $2.64 billion, up 3.6% from FY2024.
- Annual Rental Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Invitation Homes' Rental Revenue was $2.55 billion in FY2024 (+5.4%), $2.42 billion in FY2023 (+8.6%), $2.23 billion in FY2022 (+11.8%) and $1.99 billion in FY2021 (+9.3%).
- Quarterly Rental Revenue has run from a low of $474.45 million in Q1 2021 to a high of $666.19 million in Q3 2025 over five years.
- On a year-over-year basis, Rental Revenue has increased in each of the last 36 quarters, with growth averaging 4.5% over the last eight quarters.
- The year-over-year growth in Rental Revenue has ranged between 2.8% (Q4 2024) and 13.0% (Q2 2022) over the last five years.
- According to Business Quant data, Rental Revenue for the three prior quarters was $666.19 million (Q3 2025), $659.11 million (Q2 2025) and $653.07 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 2.21 Bn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 1.66 Bn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | - |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 1.48 Bn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 362.72 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 760.84 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 785.05 Mn |
| 10 | Invitation Homes | 15.95 Bn | 15.55 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 663.59 Mn |
| Sep 30, 2025 | 666.19 Mn |
| Jun 30, 2025 | 659.11 Mn |
| Mar 31, 2025 | 653.07 Mn |
| Dec 31, 2024 | 638.05 Mn |
| Sep 30, 2024 | 641.34 Mn |
| Jun 30, 2024 | 637.48 Mn |
| Mar 31, 2024 | 632.10 Mn |
| Dec 31, 2023 | 620.90 Mn |
| Sep 30, 2023 | 614.29 Mn |
| Jun 30, 2023 | 596.92 Mn |
| Mar 31, 2023 | 586.52 Mn |
| Dec 31, 2022 | 576.51 Mn |
| Sep 30, 2022 | 565.39 Mn |
| Jun 30, 2022 | 554.54 Mn |
| Mar 31, 2022 | 530.20 Mn |
| Dec 31, 2021 | 518.47 Mn |
| Sep 30, 2021 | 508.18 Mn |
| Jun 30, 2021 | 490.62 Mn |
| Mar 31, 2021 | 474.45 Mn |
API Access
Invitation Homes Rental 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=rental-revenue&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-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=rental-revenue&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();