Ventas (VTR) Long-Term Debt Repayments (2009 - 2026)
Ventas (VTR) posted Long-Term Debt Repayments of $868.15 million for Q2 2026, up 630.3% from $118.87 million a year earlier and up 7.1% from the prior quarter.
Ventas (VTR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Ventas was $2.25 billion, up 57.8% year-over-year; for FY2025, it came in at $1.78 billion, up 9.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In prior years, Ventas' Long-Term Debt Repayments was $1.62 billion in FY2024 (-17.8%), $1.97 billion in FY2023 (+242.9%), $575.39 million in FY2022 (-72.7%) and $2.11 billion in FY2021 (+339.9%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 112.1%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 630.3%; the weakest was Q4 2022, with a decline of 89.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $810.68 million (Q1 2026), $128.11 million (Q4 2025) and $442.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 1.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 868.15 Mn |
| Mar 31, 2026 | 810.68 Mn |
| Dec 31, 2025 | 128.11 Mn |
| Sep 30, 2025 | 442.07 Mn |
| Jun 30, 2025 | 118.87 Mn |
| Mar 31, 2025 | 1.09 Bn |
| Dec 31, 2024 | 81.45 Mn |
| Sep 30, 2024 | 134.00 Mn |
| Jun 30, 2024 | 986.56 Mn |
| Mar 31, 2024 | 419.31 Mn |
| Dec 31, 2023 | 82.13 Mn |
| Sep 30, 2023 | 401.89 Mn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 343.88 Mn |
| Dec 31, 2022 | 61.79 Mn |
| Sep 30, 2022 | 119.21 Mn |
| Jun 30, 2022 | 329.40 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Dec 31, 2021 | 610.58 Mn |
| Sep 30, 2021 | 933.09 Mn |
Ventas Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();