Highwoods Properties (HIW) Weighted Average Shares Outstanding (2009 - 2026)
Highwoods Properties (HIW) reported Weighted Average Shares Outstanding of 110.31 million for Q3 2026, up 1.8% from 108.4 million a year earlier and unchanged from the prior quarter.
Highwoods Properties (HIW) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Highwoods Properties posted Weighted Average Shares Outstanding of 108.45 million, up 2.2% from FY2024.
- Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 106.17 million in FY2024 (+0.6%), 105.53 million in FY2023 (+0.4%), 105.12 million in FY2022 (+0.9%) and 104.23 million in FY2021 (+0.3%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 66 quarters, with growth averaging 1.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.3% (Q2 2023) and 2.3% (Q2 2026) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 110.28 million (Q2 2026), 110.04 million (Q1 2026) and 108.45 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 | Highwoods Properties | 3.43 Bn | 3.14 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 110.31 Mn |
| Jun 30, 2026 | 110.28 Mn |
| Mar 31, 2026 | 111.65 Mn |
| Dec 31, 2025 | 108.45 Mn |
| Sep 30, 2025 | 108.40 Mn |
| Jun 30, 2025 | 107.83 Mn |
| Mar 31, 2025 | 107.68 Mn |
| Dec 31, 2024 | 106.17 Mn |
| Sep 30, 2024 | 106.01 Mn |
| Jun 30, 2024 | 106.00 Mn |
| Mar 31, 2024 | 105.80 Mn |
| Dec 31, 2023 | 105.53 Mn |
| Sep 30, 2023 | 105.67 Mn |
| Jun 30, 2023 | 105.46 Mn |
| Mar 31, 2023 | 105.29 Mn |
| Dec 31, 2022 | 105.12 Mn |
| Sep 30, 2022 | 105.18 Mn |
| Jun 30, 2022 | 105.16 Mn |
| Mar 31, 2022 | 104.93 Mn |
| Dec 31, 2021 | 104.23 Mn |
Highwoods Properties Weighted Average Shares Outstanding 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&ticker=HIW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "HIW", "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&ticker=HIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();