Ventas (VTR) Selling, General & Administrative (2009 - 2026)
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Analysis
Ventas (VTR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 129.63 Mn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 17.87 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 57.61 Mn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 44.37 Mn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 46.99 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 16.64 Mn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 29.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.99 Mn |
| Mar 31, 2026 | 62.75 Mn |
| Dec 31, 2025 | 41.01 Mn |
| Sep 30, 2025 | 40.39 Mn |
| Jun 30, 2025 | 42.86 Mn |
| Mar 31, 2025 | 53.15 Mn |
| Dec 31, 2024 | 41.43 Mn |
| Sep 30, 2024 | 35.09 Mn |
| Jun 30, 2024 | 37.73 Mn |
| Mar 31, 2024 | 48.74 Mn |
| Dec 31, 2023 | 36.38 Mn |
| Sep 30, 2023 | 33.30 Mn |
| Jun 30, 2023 | 34.40 Mn |
| Mar 31, 2023 | 44.80 Mn |
| Dec 31, 2022 | 33.54 Mn |
| Sep 30, 2022 | 35.42 Mn |
| Jun 30, 2022 | 32.92 Mn |
| Mar 31, 2022 | 43.00 Mn |
| Dec 31, 2021 | 28.60 Mn |
| Sep 30, 2021 | 30.26 Mn |
API Access
Ventas Selling, General & Administrative 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=selling-general-and-administrative&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();