Urban Edge Properties (UE) Asset Writedowns and Impairment (2017 - 2024)
Urban Edge Properties' Asset Writedowns and Impairment was $34.1 million in Q1 2024, unchanged from $34.1 million a year earlier.
Analysis
Urban Edge Properties (UE) Asset Writedowns and Impairment (2017 - 2024) Analysis & Trends
For FY2023, Asset Writedowns and Impairment at Urban Edge Properties came in at $34.06 million.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 43.6% (FY2018 to FY2023).
- In earlier years, Asset Writedowns and Impairment was $468,000 in FY2021 (-84.7%), $3.06 million in FY2020 (-76.0%) and $12.74 million in FY2019 (+128.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Urban Edge Properties | 2.48 Bn | 2.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 34.10 Mn |
| Jun 30, 2023 | -45,000.00 |
| Mar 31, 2023 | 34.10 Mn |
| Dec 31, 2020 | 3.06 Mn |
| Dec 31, 2019 | 3.67 Mn |
| Jun 30, 2019 | 5.11 Mn |
| Mar 31, 2019 | 3.96 Mn |
| Dec 31, 2018 | 5.57 Mn |
| Sep 30, 2017 | 2.17 Mn |
| Jun 30, 2017 | 303,000.00 |
| Mar 31, 2017 | 3.16 Mn |
API Access
Urban Edge Properties Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=UE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=UE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();