Phillips Edison & Company (PECO) Asset Writedowns and Impairment (2018 - 2022)
Phillips Edison & Company's Asset Writedowns and Impairment came in at $322,000 for Q4 2022.
Powered by 
Analysis
Phillips Edison & Company (PECO) Asset Writedowns and Impairment (2018 - 2022) Analysis & Trends
Going back to Q2 2018, Phillips Edison & Company's Asset Writedowns and Impairment data covers 12 quarters.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of -70.2% (FY2018 to FY2022).
- Going back by year, Asset Writedowns and Impairment was $6.75 million in FY2021 (+178.7%), $2.42 million in FY2020 (-97.2%), $87.39 million in FY2019 (+114.3%) and $40.78 million in FY2018.
- The Q4 2022 figure represents the highest quarterly Asset Writedowns and Impairment in data going back to Q2 2018.
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 | Phillips Edison & Company | 4.86 Bn | 5.15 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 322,000.00 |
| Sep 30, 2021 | 698,000.00 |
| Jun 30, 2021 | 1.06 Mn |
| Mar 31, 2021 | 5.00 Mn |
| Dec 31, 2020 | 2.42 Mn |
| Dec 31, 2019 | 12.77 Mn |
| Sep 30, 2019 | 35.71 Mn |
| Jun 30, 2019 | 25.20 Mn |
| Mar 31, 2019 | 13.72 Mn |
| Dec 31, 2018 | 13.09 Mn |
| Sep 30, 2018 | 16.76 Mn |
| Jun 30, 2018 | 10.94 Mn |
API Access
Phillips Edison & Company 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=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "PECO", "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=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();