Invitation Homes (INVH) Total Liabilities (2016 - 2026)
Invitation Homes (INVH) reported Total Liabilities of $9.36 billion for Q2 2026, up 4.5% from $8.96 billion a year earlier but down 2.3% from the prior quarter.
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Analysis
Invitation Homes (INVH) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Invitation Homes posted Total Liabilities of $9.11 billion, up 2.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $8.91 billion in FY2024 (-1.4%), $9.03 billion in FY2023 (+10.0%), $8.21 billion in FY2022 (-5.6%) and $8.7 billion in FY2021 (-2.8%).
- Five-year quarterly Total Liabilities spans a low of $8.21 billion in Q4 2022 and a high of $9.68 billion in Q3 2024.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2024 (growth of 11.1%); the low point was Q3 2021 (a decline of 7.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.57 billion (Q1 2026), $9.11 billion (Q4 2025) and $9.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.17 Bn | 153.24 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 118.00 Bn | 117.43 Bn | - | 42.89 Bn |
| 3 | Simon Property | 72.84 Bn | 69.90 Bn | - | 33.57 Bn |
| 4 | Public Storage | 58.40 Bn | 57.84 Bn | - | 13.78 Bn |
| 5 | Realty Income | 53.77 Bn | 54.38 Bn | - | 34.51 Bn |
| 6 | Ventas | 42.73 Bn | 42.73 Bn | - | 14.27 Bn |
| 7 | Extra Space Storage | 30.57 Bn | 30.57 Bn | - | 15.20 Bn |
| 8 | Vici Properties | 26.12 Bn | 24.23 Bn | 1.05 Bn | 18.67 Bn |
| 9 | Vivmark Residential | 23.44 Bn | 23.41 Bn | - | 9.58 Bn |
| 10 | Invitation Homes | 16.05 Bn | 15.62 Bn | - | 9.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.36 Bn |
| Mar 31, 2026 | 9.57 Bn |
| Dec 31, 2025 | 9.11 Bn |
| Sep 30, 2025 | 9.12 Bn |
| Jun 30, 2025 | 8.96 Bn |
| Mar 31, 2025 | 8.82 Bn |
| Dec 31, 2024 | 8.91 Bn |
| Sep 30, 2024 | 9.68 Bn |
| Jun 30, 2024 | 9.17 Bn |
| Mar 31, 2024 | 9.04 Bn |
| Dec 31, 2023 | 9.03 Bn |
| Sep 30, 2023 | 9.20 Bn |
| Jun 30, 2023 | 8.26 Bn |
| Mar 31, 2023 | 8.25 Bn |
| Dec 31, 2022 | 8.21 Bn |
| Sep 30, 2022 | 8.33 Bn |
| Jun 30, 2022 | 8.22 Bn |
| Mar 31, 2022 | 8.32 Bn |
| Dec 31, 2021 | 8.70 Bn |
| Sep 30, 2021 | 8.73 Bn |
API Access
Invitation Homes Total Liabilities 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=total-liabilities&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();