BXP, Inc. (BXP) Real Estate - Gross (2010 - 2024)
Bxp's Real Estate - Gross was $27.06 billion in Q1 2024, up 5.9% from $25.56 billion a year earlier and up 1.2% from the prior quarter.
Analysis
BXP, Inc. (BXP) Real Estate - Gross (2010 - 2024) Analysis & Trends
At the end of FY2023, Real Estate - Gross at Bxp came in at $26.75 billion, up 5.4% from FY2022.
- Real Estate - Gross has now increased for 13 consecutive years, with a five-year compound annual growth rate of 4.3% (FY2018 to FY2023).
- In earlier years, Real Estate - Gross was $25.39 billion in FY2022 (+6.9%), $23.75 billion in FY2021 (+3.4%), $22.97 billion in FY2020 (+2.1%) and $22.5 billion in FY2019 (+3.9%).
- The Q1 2024 figure marks the highest quarterly Real Estate - Gross in data going back to Q4 2010.
- Compared with a year earlier, Real Estate - Gross has increased for 11 straight quarters, with growth averaging 5.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Real Estate - Gross ranged from 1.9% (Q2 2019) to 6.9% (Q1 2023).
- Per Business Quant data, BXP's Real Estate - Gross in the three quarters before Q1 2024 was $26.75 billion (Q4 2023), $26.03 billion (Q3 2023) and $25.76 billion (Q2 2023).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 27.06 Bn |
| Dec 31, 2023 | 26.75 Bn |
| Sep 30, 2023 | 26.03 Bn |
| Jun 30, 2023 | 25.76 Bn |
| Mar 31, 2023 | 25.56 Bn |
| Dec 31, 2022 | 25.39 Bn |
| Sep 30, 2022 | 25.19 Bn |
| Jun 30, 2022 | 24.70 Bn |
| Mar 31, 2022 | 23.90 Bn |
| Dec 31, 2021 | 23.75 Bn |
| Sep 30, 2021 | 23.71 Bn |
| Jun 30, 2021 | 23.42 Bn |
| Mar 31, 2021 | 23.16 Bn |
| Dec 31, 2020 | 22.97 Bn |
| Sep 30, 2020 | 22.77 Bn |
| Mar 31, 2020 | 22.34 Bn |
| Dec 31, 2019 | 22.50 Bn |
| Sep 30, 2019 | 22.29 Bn |
| Jun 30, 2019 | 21.94 Bn |
| Mar 31, 2019 | 21.74 Bn |
API Access
BXP, Inc. Real Estate - Gross 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=real-estate-gross&ticker=BXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-gross", "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=real-estate-gross&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();