Phillips Edison & Company (PECO) Operating Expenses (2010 - 2026)
Phillips Edison & Company (PECO) recorded Operating Expenses of $135.01 million in Q2 2026, up 0.2% from $134.73 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Phillips Edison & Company (PECO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Phillips Edison & Company's Operating Expenses came in at $532.19 million as of Jun 30, 2026, up 3.2% year-over-year; for FY2025, it came in at $527.75 million, up 7.9% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $488.94 million in FY2024 (+7.2%), $455.93 million in FY2023 (+2.5%), $445 million in FY2022 (+2.2%) and $435.3 million in FY2021 (+2.9%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2019.
- On a year-over-year basis, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.0% in Q2 2025, against a decline of 2.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $132.53 million (Q1 2026), $133.87 million (Q4 2025) and $130.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Phillips Edison & Company | 4.84 Bn | 5.13 Bn | - | 135.01 Mn |
Historic Data
Download Data
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 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=operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();