Invitation Homes (INVH) Total Non-Current Liabilities (2016 - 2026)
Invitation Homes (INVH) posted Total Non-Current Liabilities of $9.04 billion for Q2 2026, up 4.3% from $8.67 billion a year earlier but down 2.3% from the prior quarter.
Invitation Homes (INVH) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Invitation Homes' Total Non-Current Liabilities came in at $8.79 billion, up 1.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Invitation Homes' Total Non-Current Liabilities was $8.63 billion in FY2024 (-2.5%), $8.85 billion in FY2023 (+10.1%), $8.04 billion in FY2022 (-3.8%) and $8.36 billion in FY2021 (+0.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $8.04 billion in Q4 2022 to a high of $9.5 billion in Q3 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2024, with growth of 11.3%; the weakest was Q3 2025, with a decline of 7.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $9.25 billion (Q1 2026), $8.79 billion (Q4 2025) and $8.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 38.97 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 33.12 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 33.49 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 17.65 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 9.30 Bn |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 9.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.04 Bn |
| Mar 31, 2026 | 9.25 Bn |
| Dec 31, 2025 | 8.79 Bn |
| Sep 30, 2025 | 8.82 Bn |
| Jun 30, 2025 | 8.67 Bn |
| Mar 31, 2025 | 8.54 Bn |
| Dec 31, 2024 | 8.63 Bn |
| Sep 30, 2024 | 9.50 Bn |
| Jun 30, 2024 | 8.99 Bn |
| Mar 31, 2024 | 8.86 Bn |
| Dec 31, 2023 | 8.85 Bn |
| Sep 30, 2023 | 9.02 Bn |
| Jun 30, 2023 | 8.08 Bn |
| Mar 31, 2023 | 8.07 Bn |
| Dec 31, 2022 | 8.04 Bn |
| Sep 30, 2022 | 8.16 Bn |
| Jun 30, 2022 | 8.05 Bn |
| Mar 31, 2022 | 8.15 Bn |
| Dec 31, 2021 | 8.36 Bn |
| Sep 30, 2021 | 8.27 Bn |
Invitation Homes Total Non-Current 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-non-current-liabilities&ticker=INVH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();