Phillips Edison & Company, Inc. (PECO) Real Estate, at Cost (2010 - 2026)
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Analysis
Phillips Edison & Company, Inc. (PECO) Real Estate, at Cost (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Bn |
| Mar 31, 2026 | 7.02 Bn |
| Dec 31, 2025 | 6.88 Bn |
| Sep 30, 2025 | 6.86 Bn |
| Jun 30, 2025 | 6.83 Bn |
| Mar 31, 2025 | 6.68 Bn |
| Dec 31, 2024 | 6.55 Bn |
| Sep 30, 2024 | 6.41 Bn |
| Jun 30, 2024 | 6.30 Bn |
| Mar 31, 2024 | 6.22 Bn |
| Dec 31, 2023 | 6.16 Bn |
| Sep 30, 2023 | 5.94 Bn |
| Jun 30, 2023 | 5.91 Bn |
| Mar 31, 2023 | 5.89 Bn |
| Dec 31, 2022 | 5.25 Bn |
| Sep 30, 2022 | 5.74 Bn |
| Jun 30, 2022 | 5.65 Bn |
| Mar 31, 2022 | 5.56 Bn |
| Dec 31, 2021 | 5.46 Bn |
| Sep 30, 2021 | 5.22 Bn |
API Access
Phillips Edison & Company, Inc. Real Estate, at Cost 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=real-estate-at-cost&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "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=real-estate-at-cost&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();