Urban Edge Properties (UE) EV to EBITDA (2015 - 2026)
Urban Edge Properties' (UE) EV to EBITDA was 8.92 for Q2 2026, up 25.7% from 7.10 a year earlier.
Urban Edge Properties (UE) EV to EBITDA (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Urban Edge Properties' EV to EBITDA came in at 8.37, up 26.3% year-over-year; for FY2025, it came in at 7.53, down 13.0% from FY2024.
- By year, EV to EBITDA came in at 8.65 in FY2024 (+91.1%), 4.53 in FY2023 (-40.9%), 7.66 in FY2022 (-4.8%) and 8.05 in FY2021 (+56.8%).
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q2 2023.
- Year over year, EV to EBITDA gained in five of the last seven quarters, with growth averaging 41.4%.
- The high point for year-over-year EV to EBITDA in five years was Q3 2021 (growth of 304.5%); the low point was Q2 2024 (a decline of 59.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Urban Edge Properties | 2.51 Bn | 2.34 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.92 |
| Dec 31, 2025 | 7.67 |
| Sep 30, 2025 | 7.46 |
| Jun 30, 2025 | 7.10 |
| Mar 31, 2025 | 7.64 |
| Dec 31, 2024 | 8.77 |
| Sep 30, 2024 | 4.96 |
| Jun 30, 2024 | 3.97 |
| Mar 31, 2024 | 4.02 |
| Dec 31, 2023 | 4.56 |
| Sep 30, 2023 | 7.61 |
| Jun 30, 2023 | 9.74 |
| Mar 31, 2023 | 9.59 |
| Dec 31, 2022 | 7.66 |
| Sep 30, 2022 | 6.35 |
| Jun 30, 2022 | 6.74 |
| Mar 31, 2022 | 8.49 |
| Dec 31, 2021 | 8.05 |
| Sep 30, 2021 | 8.85 |
| Jun 30, 2021 | 10.68 |
Urban Edge Properties EV to EBITDA 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=ev-to-ebitda&ticker=UE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "UE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=UE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();