Vornado Realty Trust (VNO) Selling, General & Administrative (2009 - 2026)
Vornado Realty Trust's Selling, General & Administrative was $39.1 million in Q2 2026, down 2.2% from $39.98 million a year earlier and down 7.4% from the prior quarter.
Vornado Realty Trust (VNO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vornado Realty Trust's Selling, General & Administrative was $158.89 million through Jun 30, 2026, up 5.4% year-over-year; for FY2025, it came in at $156.12 million, up 5.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $148.52 million in FY2024 (-8.8%), $162.88 million in FY2023 (+21.8%), $133.73 million in FY2022 (-0.6%) and $134.55 million in FY2021 (-25.9%).
- Quarterly Selling, General & Administrative has moved between $25.55 million (Q3 2021) and $46.04 million (Q4 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 0.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 46.4%); the worst was Q4 2021 (a decline of 44.2%).
- Per Business Quant data, VNO's Selling, General & Administrative in the three quarters before Q2 2026 was $42.25 million (Q1 2026), $40.05 million (Q4 2025) and $37.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Vornado Realty Trust | 6.30 Bn | 7.03 Bn | - | 39.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.10 Mn |
| Mar 31, 2026 | 42.25 Mn |
| Dec 31, 2025 | 40.05 Mn |
| Sep 30, 2025 | 37.49 Mn |
| Jun 30, 2025 | 39.98 Mn |
| Mar 31, 2025 | 38.60 Mn |
| Dec 31, 2024 | 36.64 Mn |
| Sep 30, 2024 | 35.51 Mn |
| Jun 30, 2024 | 38.48 Mn |
| Mar 31, 2024 | 37.90 Mn |
| Dec 31, 2023 | 46.04 Mn |
| Sep 30, 2023 | 35.84 Mn |
| Jun 30, 2023 | 39.41 Mn |
| Mar 31, 2023 | 41.60 Mn |
| Dec 31, 2022 | 31.44 Mn |
| Sep 30, 2022 | 29.17 Mn |
| Jun 30, 2022 | 31.90 Mn |
| Mar 31, 2022 | 41.22 Mn |
| Dec 31, 2021 | 34.20 Mn |
| Sep 30, 2021 | 25.55 Mn |
Vornado Realty Trust 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=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VNO", "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=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();