Bxp (BXP) Price to Earnings (2009 - 2026)
Bxp's (BXP) Price to Earnings stood at 18.31 in Q3 2026, down 48.6% from the prior quarter.
Analysis
Bxp (BXP) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Bxp's Price to Earnings came in at 38.65, down 95.3% from FY2024.
- Across earlier years, Price to Earnings came in at 824.12 in FY2024, 57.90 in FY2023 (+364.0%), 12.48 in FY2022 (-65.7%) and 36.34 in FY2021 (+112.8%).
- The Q3 2026 figure is the lowest quarterly Price to Earnings since Q2 2023.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 386.3% in Q1 2024, against a decline of 98.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 35.64 (Q2 2026), 25.96 (Q1 2026) and 38.65 (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 | 18.31 |
| Jun 30, 2026 | 35.64 |
| Mar 31, 2026 | 25.96 |
| Dec 31, 2025 | 38.65 |
| Jun 30, 2025 | 2,168.21 |
| Dec 31, 2024 | 824.12 |
| Sep 30, 2024 | 35.01 |
| Jun 30, 2024 | 57.70 |
| Mar 31, 2024 | 53.34 |
| Dec 31, 2023 | 57.87 |
| Sep 30, 2023 | 51.22 |
| Jun 30, 2023 | 13.79 |
| Mar 31, 2023 | 10.97 |
| Dec 31, 2022 | 12.63 |
| Sep 30, 2022 | 12.89 |
| Jun 30, 2022 | 21.17 |
| Mar 31, 2022 | 36.86 |
| Dec 31, 2021 | 36.34 |
| Sep 30, 2021 | 53.00 |
| Jun 30, 2021 | 59.47 |
API Access
Bxp Price to Earnings 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=price-to-earnings&ticker=BXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();