BXP, Inc. (BXP) Price to Earnings (2009 - 2026)
Bxp's (BXP) Price to Earnings stood at 53.34 in Q1 2024, up 386.3% from 10.97 a year earlier but down 7.8% from the prior quarter.
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BXP, Inc. (BXP) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2023, Bxp's Price to Earnings came in at 57.90, up 364.0% from FY2022.
- Across earlier years, Price to Earnings came in at 12.48 in FY2022 (-65.7%), 36.34 in FY2021 (+112.8%), 17.07 in FY2020 (-59.1%) and 41.76 in FY2019 (+37.5%).
- Quarterly Price to Earnings has ranged from 10.97 in Q1 2023 to 59.47 in Q2 2021 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for three consecutive quarters, with growth averaging 91.4% over the last eight quarters.
- 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 75.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 57.87 (Q4 2023), 51.22 (Q3 2023) and 13.79 (Q2 2023).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.64 |
| Mar 31, 2026 | 25.96 |
| Dec 31, 2025 | 38.65 |
| Jun 30, 2025 | 2,168.22 |
| 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 |
| Mar 31, 2021 | 34.68 |
API Access
BXP, Inc. 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_KEYimport 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();