Vornado Realty Trust (VNO) Return on Sales [ROS] (2009 - 2026)
Vornado Realty Trust's Return on Sales [ROS] was 28.63% in Q2 2026, down 176.44 percentage points from 205.08% a year earlier but up 12.71 percentage points from the prior quarter.
Vornado Realty Trust (VNO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vornado Realty Trust's Return on Sales [ROS] was 21.98% through Jun 30, 2026, down 50.44 percentage points year-over-year; for FY2025, it came in at 72.06%, up 47.83 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +84.88 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 24.23% in FY2024 (+1.52 pp), 22.71% in FY2023 (+27.22 pp), -4.51% in FY2022 (-31.45 pp) and 26.94% in FY2021 (+39.77 pp).
- Quarterly Return on Sales [ROS] has moved between -96.16% (Q4 2022) and 205.08% (Q2 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of +0.10 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2025 (a gain of 173.14 percentage points); the worst was Q2 2026 (a drop of 176.44 percentage points).
- Per Business Quant data, VNO's Return on Sales [ROS] in the three quarters before Q2 2026 was 15.92% (Q1 2026), 21.68% (Q4 2025) and 21.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - | 51.59% |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - | 43.38% |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - | 37.85% |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - | 45.77% |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - | 12.39% |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - | - |
| 10 | Vornado Realty Trust | 6.50 Bn | 3.62 Bn | - | 28.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.63% |
| Mar 31, 2026 | 15.92% |
| Dec 31, 2025 | 21.68% |
| Sep 30, 2025 | 21.62% |
| Jun 30, 2025 | 205.08% |
| Mar 31, 2025 | 43.94% |
| Dec 31, 2024 | 24.48% |
| Sep 30, 2024 | 19.47% |
| Jun 30, 2024 | 31.93% |
| Mar 31, 2024 | 20.84% |
| Dec 31, 2023 | -1.03% |
| Sep 30, 2023 | 35.34% |
| Jun 30, 2023 | 32.69% |
| Mar 31, 2023 | 22.90% |
| Dec 31, 2022 | -96.16% |
| Sep 30, 2022 | 21.99% |
| Jun 30, 2022 | 29.79% |
| Mar 31, 2022 | 25.53% |
| Dec 31, 2021 | 28.55% |
| Sep 30, 2021 | 23.79% |
Vornado Realty Trust Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();