Phillips Edison & Company, Inc. (PECO) Change in Accrued Expenses (2010 - 2026)
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Analysis
Phillips Edison & Company, Inc. (PECO) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.54 Mn |
| Mar 31, 2026 | -28.14 Mn |
| Dec 31, 2025 | 6.75 Mn |
| Sep 30, 2025 | 13.90 Mn |
| Jun 30, 2025 | 14.52 Mn |
| Mar 31, 2025 | -20.34 Mn |
| Dec 31, 2024 | 5.26 Mn |
| Sep 30, 2024 | 27.68 Mn |
| Jun 30, 2024 | 905,000.00 |
| Mar 31, 2024 | -7.48 Mn |
| Dec 31, 2023 | -4.57 Mn |
| Sep 30, 2023 | 16.25 Mn |
| Jun 30, 2023 | -14.95 Mn |
| Mar 31, 2023 | 5.39 Mn |
| Dec 31, 2022 | -7.93 Mn |
| Sep 30, 2022 | 17.41 Mn |
| Jun 30, 2022 | 537,000.00 |
| Mar 31, 2022 | -66,000.00 |
| Dec 31, 2021 | -3.54 Mn |
| Sep 30, 2021 | 10.88 Mn |
API Access
Phillips Edison & Company, Inc. Change in Accrued 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=change-in-accrued-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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=change-in-accrued-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();