Howard Hughes Holdings (HHH) Weighted Average Shares Outstanding (Diluted) (2022 - 2026)
Howard Hughes Holdings (HHH) posted Weighted Average Shares Outstanding (Diluted) of 59.02 million for Q3 2026, down 0.2% from 59.12 million a year earlier and down 0.2% from the prior quarter.
Howard Hughes Holdings (HHH) Weighted Average Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Howard Hughes Holdings' Weighted Average Shares Outstanding (Diluted) came in at 56.05 million, up 12.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a four-year compound annual growth rate of 0.6% (FY2021 to FY2025).
- In prior years, Howard Hughes Holdings' Weighted Average Shares Outstanding (Diluted) was 49.91 million in FY2024 (+0.7%), 49.57 million in FY2023 (-2.0%), 50.56 million in FY2022 (-7.5%) and 54.65 million in FY2021.
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 49.46 million in Q1 2023 to a high of 59.15 million in Q2 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 8.6%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q3 2025, with growth of 18.8%; the weakest was Q4 2023, with a decline of 2.0%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 59.15 million (Q2 2026), 59.15 million (Q1 2026) and 56.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.02 Mn |
| Jun 30, 2026 | 59.15 Mn |
| Mar 31, 2026 | 59.15 Mn |
| Dec 31, 2025 | 56.05 Mn |
| Sep 30, 2025 | 59.12 Mn |
| Jun 30, 2025 | 55.33 Mn |
| Mar 31, 2025 | 50.03 Mn |
| Dec 31, 2024 | 49.91 Mn |
| Sep 30, 2024 | 49.76 Mn |
| Jun 30, 2024 | 49.73 Mn |
| Mar 31, 2024 | 49.66 Mn |
| Dec 31, 2023 | 49.57 Mn |
| Sep 30, 2023 | 49.62 Mn |
| Jun 30, 2023 | 49.58 Mn |
| Mar 31, 2023 | 49.46 Mn |
| Dec 31, 2022 | 50.56 Mn |
| Sep 30, 2022 | 49.47 Mn |
Howard Hughes Holdings 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=HHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "ticker": "HHH", "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=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();