Phillips Edison & Company, Inc. (PECO) Total Operating Expenses (2010 - 2026)
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Analysis
Phillips Edison & Company, Inc. (PECO) Total Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.01 Mn |
| Mar 31, 2026 | 132.53 Mn |
| Dec 31, 2025 | 133.87 Mn |
| Sep 30, 2025 | 130.78 Mn |
| Jun 30, 2025 | 134.73 Mn |
| Mar 31, 2025 | 128.38 Mn |
| Dec 31, 2024 | 125.82 Mn |
| Sep 30, 2024 | 126.54 Mn |
| Jun 30, 2024 | 119.18 Mn |
| Mar 31, 2024 | 117.41 Mn |
| Dec 31, 2023 | 115.96 Mn |
| Sep 30, 2023 | 112.39 Mn |
| Jun 30, 2023 | 114.42 Mn |
| Mar 31, 2023 | 113.15 Mn |
| Dec 31, 2022 | 111.98 Mn |
| Sep 30, 2022 | 111.99 Mn |
| Jun 30, 2022 | 111.47 Mn |
| Mar 31, 2022 | 109.57 Mn |
| Dec 31, 2021 | 114.27 Mn |
| Sep 30, 2021 | 104.21 Mn |
API Access
Phillips Edison & Company, Inc. Total 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=total-operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();