Bxp (BXP) Accumulated Expenses (2015 - 2024)
Bxp's Accumulated Expenses was $1.5 million in Q3 2024, unchanged from the prior quarter.
Powered by 
Analysis
Bxp (BXP) Accumulated Expenses (2015 - 2024) Analysis & Trends
From Q4 2015 onward, Bxp has reported Accumulated Expenses for 12 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -62.4% (FY2018 to FY2023).
- In earlier years, Accumulated Expenses was $1.5 million in FY2019 (-99.3%).
- Per Business Quant data, BXP's Accumulated Expenses in the three quarters before Q3 2024 was $1.5 million (Q2 2024), $1.5 million (Q1 2024) and $1.5 million (Q4 2023).
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, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Dec 31, 2019 | 1.50 Mn |
| Mar 31, 2019 | 182.73 Mn |
| Dec 31, 2018 | 200.34 Mn |
| Dec 31, 2016 | 243.93 Mn |
| Sep 30, 2016 | 234.63 Mn |
| Jun 30, 2016 | 222.18 Mn |
| Mar 31, 2016 | 221.58 Mn |
| Dec 31, 2015 | 190.39 Mn |
API Access
Bxp Accumulated 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=accumulated-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();