Bxp (BXP) Property Operating Expenses (2009 - 2026)
Bxp's Property Operating Expenses was $335.35 million in Q3 2026, up 1.1% from $331.74 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Bxp (BXP) Property Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bxp's Property Operating Expenses was $1.36 billion through Sep 30, 2026, up 2.8% year-over-year; for FY2025, it came in at $1.34 billion, up 3.7% from FY2024.
- Property Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Property Operating Expenses was $1.29 billion in FY2024 (+8.7%), $1.18 billion in FY2023 (+6.8%), $1.11 billion in FY2022 (+8.5%) and $1.02 billion in FY2021 (+0.4%).
- Quarterly Property Operating Expenses has moved between $256.78 million (Q4 2021) and $344.08 million (Q1 2026) over five years.
- Compared with a year earlier, Property Operating Expenses has increased for 20 straight quarters, with growth averaging 3.6% over the last eight quarters.
- The year-over-year growth in Property Operating Expenses has ranged between 0.2% (Q4 2021) and 10.4% (Q2 2024) over the last five years.
- Per Business Quant data, BXP's Property Operating Expenses in the three quarters before Q3 2026 was $336.14 million (Q2 2026), $344.08 million (Q1 2026) and $339.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Bxp | 10.18 Bn | 6.78 Bn | 901.51 Mn | 335.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 335.35 Mn |
| Jun 30, 2026 | 336.14 Mn |
| Mar 31, 2026 | 344.08 Mn |
| Dec 31, 2025 | 339.69 Mn |
| Sep 30, 2025 | 331.74 Mn |
| Jun 30, 2025 | 332.06 Mn |
| Mar 31, 2025 | 331.58 Mn |
| Dec 31, 2024 | 323.36 Mn |
| Sep 30, 2024 | 327.90 Mn |
| Jun 30, 2024 | 321.43 Mn |
| Mar 31, 2024 | 314.16 Mn |
| Dec 31, 2023 | 301.41 Mn |
| Sep 30, 2023 | 300.19 Mn |
| Jun 30, 2023 | 291.04 Mn |
| Mar 31, 2023 | 291.31 Mn |
| Dec 31, 2022 | 282.27 Mn |
| Sep 30, 2022 | 281.70 Mn |
| Jun 30, 2022 | 273.85 Mn |
| Mar 31, 2022 | 270.26 Mn |
| Dec 31, 2021 | 256.78 Mn |
API Access
Bxp Property 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=property-operating-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "BXP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();