Bxp (BXP) Total Operating Expenses (2009 - 2026)
Bxp (BXP) posted Operating Expenses of $615.65 million for Q3 2026, down 0.5% from $618.95 million a year earlier and down 3.3% from the prior quarter.
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Analysis
Bxp (BXP) Total Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Bxp was $2.52 billion, up 3.1% year-over-year; for FY2025, it came in at $2.47 billion, up 3.5% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Bxp's Operating Expenses was $2.39 billion in FY2024 (+6.6%), $2.24 billion in FY2023 (+9.2%), $2.05 billion in FY2022 (+6.7%) and $1.92 billion in FY2021 (+3.2%).
- The Q3 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2025.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 3.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 13.7%; the weakest was Q3 2026, with a decline of 0.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $636.77 million (Q2 2026), $644.37 million (Q1 2026) and $622.63 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Bxp | 10.18 Bn | 6.78 Bn | 901.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 615.65 Mn |
| Jun 30, 2026 | 636.77 Mn |
| Mar 31, 2026 | 644.37 Mn |
| Dec 31, 2025 | 622.63 Mn |
| Sep 30, 2025 | 618.95 Mn |
| Jun 30, 2025 | 612.22 Mn |
| Mar 31, 2025 | 616.80 Mn |
| Dec 31, 2024 | 596.61 Mn |
| Sep 30, 2024 | 597.81 Mn |
| Jun 30, 2024 | 599.25 Mn |
| Mar 31, 2024 | 593.71 Mn |
| Dec 31, 2023 | 566.99 Mn |
| Sep 30, 2023 | 552.71 Mn |
| Jun 30, 2023 | 550.87 Mn |
| Mar 31, 2023 | 568.66 Mn |
| Dec 31, 2022 | 529.25 Mn |
| Sep 30, 2022 | 518.99 Mn |
| Jun 30, 2022 | 501.84 Mn |
| Mar 31, 2022 | 499.98 Mn |
| Dec 31, 2021 | 478.34 Mn |
API Access
Bxp Total 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=total-operating-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();