Vornado Realty Trust (VNO) Enterprise Value (2009 - 2026)
Vornado Realty Trust (VNO) reported Enterprise Value of $7.4 billion for Q2 2026, up 7.4% from $6.89 billion a year earlier and up 70.7% from the prior quarter.
Vornado Realty Trust (VNO) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vornado Realty Trust's Enterprise Value came in at $4.46 billion, down 7.0% year-over-year; for FY2025, it came in at $6.15 billion, down 24.3% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- By year, Enterprise Value came in at $8.12 billion in FY2024 (+61.8%), $5.02 billion in FY2023 (+63.6%), $3.07 billion in FY2022 (-55.9%) and $6.95 billion in FY2021 (+13.5%).
- Five-year quarterly Enterprise Value spans a low of $2.21 billion in Q1 2023 and a high of $8.12 billion in Q4 2024.
- Year over year, Enterprise Value gained in six of the last eight quarters, with growth averaging 23.5%.
- The high point for year-over-year Enterprise Value in five years was Q1 2024 (growth of 136.5%); the low point was Q1 2023 (a decline of 71.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.33 billion (Q1 2026), $6.15 billion (Q4 2025) and $7.56 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.40 Bn |
| Mar 31, 2026 | 4.33 Bn |
| Dec 31, 2025 | 6.15 Bn |
| Sep 30, 2025 | 7.56 Bn |
| Jun 30, 2025 | 6.89 Bn |
| Mar 31, 2025 | 7.27 Bn |
| Dec 31, 2024 | 8.12 Bn |
| Sep 30, 2024 | 7.54 Bn |
| Jun 30, 2024 | 4.73 Bn |
| Mar 31, 2024 | 5.23 Bn |
| Dec 31, 2023 | 5.02 Bn |
| Sep 30, 2023 | 3.79 Bn |
| Jun 30, 2023 | 2.80 Bn |
| Mar 31, 2023 | 2.21 Bn |
| Dec 31, 2022 | 3.07 Bn |
| Sep 30, 2022 | 3.64 Bn |
| Jun 30, 2022 | 4.51 Bn |
| Mar 31, 2022 | 7.82 Bn |
| Dec 31, 2021 | 6.95 Bn |
| Sep 30, 2021 | 6.61 Bn |
Vornado Realty Trust Enterprise Value 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=enterprise-value&ticker=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();