Ventas (VTR) Receivables - Net (2023 - 2026)
Ventas' Receivables - Net was $108.05 million in Q2 2026, up 49.2% from $72.4 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Ventas (VTR) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Ventas came in at $99.87 million, down 7.6% from FY2024.
- In earlier years, Receivables - Net was $108.14 million in FY2024 (+42.1%) and $76.09 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Receivables - Net since Q4 2024.
- Compared with a year earlier, Receivables - Net was higher in three of the last four quarters, with growth averaging 26.7%.
- Per Business Quant data, VTR's Receivables - Net in the three quarters before Q2 2026 was $105.34 million (Q1 2026), $99.87 million (Q4 2025) and $92.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.05 Mn |
| Mar 31, 2026 | 105.34 Mn |
| Dec 31, 2025 | 99.87 Mn |
| Sep 30, 2025 | 92.46 Mn |
| Jun 30, 2025 | 72.40 Mn |
| Mar 31, 2025 | 85.66 Mn |
| Dec 31, 2024 | 108.14 Mn |
| Dec 31, 2023 | 76.09 Mn |
API Access
Ventas Receivables - Net 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=receivables-net&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();