Phillips Edison & Company (PECO) Change in Accured Expenses (2010 - 2026)
Phillips Edison & Company's Change in Accured Expenses was $33.54 million in Q2 2026, up 131.1% from $14.52 million a year earlier.
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Analysis
Phillips Edison & Company (PECO) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Phillips Edison & Company's Change in Accured Expenses was $26.06 million through Jun 30, 2026, down 3.9% year-over-year; for FY2025, it came in at $14.83 million, down 43.8% from FY2024.
- In earlier years, Change in Accured Expenses was $26.36 million in FY2024, $2.11 million in FY2023 (-78.8%), $9.96 million in FY2022 (+17.0%) and $8.51 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q4 2010.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 45.0%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2026 (growth of 131.1%); the worst was Q2 2022 (a decline of 90.5%).
- Per Business Quant data, PECO's Change in Accured Expenses in the three quarters before Q2 2026 was -$28.14 million (Q1 2026), $6.75 million (Q4 2025) and $13.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Phillips Edison & Company | 4.86 Bn | 5.15 Bn | - | 33.54 Mn |
Historic Data
Download Data
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 Change in Accured 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-accured-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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-accured-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();