Bxp (BXP) Weighted Average Shares Outstanding (Diluted) (2009 - 2026)
Bxp's Weighted Average Shares Outstanding (Diluted) was 160.11 million in Q3 2026, up 1.1% from 158.35 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Bxp (BXP) Weighted Average Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Bxp came in at 158.87 million, up 0.7% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 157.79 million in FY2024 (+0.4%), 157.2 million in FY2023 (unchanged), 157.14 million in FY2022 (+0.5%) and 156.38 million in FY2021 (+0.6%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for nine straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q3 2026 (growth of 1.1%); the worst was Q3 2023 (a decline of 0.2%).
- Per Business Quant data, BXP's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 159.63 million (Q2 2026), 159.06 million (Q1 2026) and 158.87 million (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 | 160.11 Mn |
| Jun 30, 2026 | 159.63 Mn |
| Mar 31, 2026 | 159.06 Mn |
| Dec 31, 2025 | 158.87 Mn |
| Sep 30, 2025 | 158.35 Mn |
| Jun 30, 2025 | 158.80 Mn |
| Mar 31, 2025 | 158.63 Mn |
| Dec 31, 2024 | 157.79 Mn |
| Sep 30, 2024 | 158.21 Mn |
| Jun 30, 2024 | 157.29 Mn |
| Mar 31, 2024 | 157.13 Mn |
| Dec 31, 2023 | 157.20 Mn |
| Sep 30, 2023 | 156.88 Mn |
| Jun 30, 2023 | 157.22 Mn |
| Mar 31, 2023 | 157.04 Mn |
| Dec 31, 2022 | 157.14 Mn |
| Sep 30, 2022 | 157.13 Mn |
| Jun 30, 2022 | 157.19 Mn |
| Mar 31, 2022 | 157.00 Mn |
| Dec 31, 2021 | 156.38 Mn |
API Access
Bxp Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=BXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "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=weighted-average-shares-outstanding-diluted&ticker=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();