Phillips Edison & Company, Inc. (PECO) Property Operating Expenses (2011 - 2020)
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Analysis
Phillips Edison & Company, Inc. (PECO) Property Operating Expenses (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 20.84 Mn |
| Jun 30, 2020 | 19.63 Mn |
| Mar 31, 2020 | 21.76 Mn |
| Dec 31, 2019 | 23.81 Mn |
| Sep 30, 2019 | 23.30 Mn |
| Jun 30, 2019 | 20.93 Mn |
| Mar 31, 2019 | 22.87 Mn |
| Dec 31, 2018 | 22.92 Mn |
| Sep 30, 2018 | 19.28 Mn |
| Jun 30, 2018 | 16.90 Mn |
| Mar 31, 2018 | 18.12 Mn |
| Dec 31, 2017 | 21.21 Mn |
| Sep 30, 2017 | 10.88 Mn |
| Jun 30, 2017 | 10.30 Mn |
| Mar 31, 2017 | 11.43 Mn |
| Dec 31, 2016 | 11.91 Mn |
| Sep 30, 2016 | 10.03 Mn |
| Jun 30, 2016 | 9.66 Mn |
| Mar 31, 2016 | 10.29 Mn |
| Dec 31, 2015 | 10.40 Mn |
API Access
Phillips Edison & Company, Inc. Property Operating Expenses 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=property-operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();