Bxp (BXP) General and Administrative (2009 - 2026)
Bxp's Selling, General & Administrative was $37.6 million in Q3 2026, up 3.9% from $36.19 million a year earlier but down 25.5% from the prior quarter.
Bxp (BXP) General and Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bxp's Selling, General & Administrative was $185.19 million through Sep 30, 2026, up 13.3% year-over-year; for FY2025, it was $168.79 million, up 5.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $159.98 million in FY2024 (-6.0%), $170.16 million in FY2023 (+16.2%), $146.38 million in FY2022 (-3.4%) and $151.57 million in FY2021 (+13.9%).
- Quarterly Selling, General & Administrative has moved between $31.41 million (Q3 2023) and $59.34 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2023 (growth of 29.2%); the worst was Q4 2024 (a decline of 16.2%).
- Per Business Quant data, BXP's Selling, General & Administrative in the three quarters before Q3 2026 was $50.44 million (Q2 2026), $59.34 million (Q1 2026) and $37.8 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.60 Mn |
| Jun 30, 2026 | 50.44 Mn |
| Mar 31, 2026 | 59.34 Mn |
| Dec 31, 2025 | 37.80 Mn |
| Sep 30, 2025 | 36.19 Mn |
| Jun 30, 2025 | 42.52 Mn |
| Mar 31, 2025 | 52.28 Mn |
| Dec 31, 2024 | 32.50 Mn |
| Sep 30, 2024 | 33.35 Mn |
| Jun 30, 2024 | 44.11 Mn |
| Mar 31, 2024 | 50.02 Mn |
| Dec 31, 2023 | 38.77 Mn |
| Sep 30, 2023 | 31.41 Mn |
| Jun 30, 2023 | 44.18 Mn |
| Mar 31, 2023 | 55.80 Mn |
| Dec 31, 2022 | 36.00 Mn |
| Sep 30, 2022 | 32.52 Mn |
| Jun 30, 2022 | 34.67 Mn |
| Mar 31, 2022 | 43.19 Mn |
| Dec 31, 2021 | 33.65 Mn |
Bxp General and Administrative 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=general-and-administrative&ticker=BXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();