Ventas (VTR) Selling, General & Administrative (2009 - 2026)
Ventas' Selling, General & Administrative was $46.99 million in Q2 2026, up 9.6% from $42.86 million a year earlier but down 25.1% from the prior quarter.
Ventas (VTR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ventas' Selling, General & Administrative was $191.13 million through Jun 30, 2026, up 10.8% year-over-year; for FY2025, it was $177.4 million, up 8.8% from FY2024.
- Selling, General & Administrative has now increased for four consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $162.99 million in FY2024 (+9.5%), $148.88 million in FY2023 (+2.8%), $144.87 million in FY2022 (+11.6%) and $129.76 million in FY2021 (-0.3%).
- Quarterly Selling, General & Administrative has moved between $28.6 million (Q4 2021) and $62.75 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in seven of the last eight quarters, with growth averaging 10.5%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2026 (growth of 18.1%); the worst was Q3 2023 (a decline of 6.0%).
- Per Business Quant data, VTR's Selling, General & Administrative in the three quarters before Q2 2026 was $62.75 million (Q1 2026), $41.01 million (Q4 2025) and $40.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 129.63 Mn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 57.61 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 44.37 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 16.64 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 73.15 Mn |
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 |
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_KEY
import 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();