Pultegroup (PHM) Shares Outstanding (Diluted) (2009 - 2026)
Pultegroup (PHM) reported Weighted Average Shares Outstanding (Diluted) of 187.84 million for Q3 2026, down 5.2% from 198.14 million a year earlier and down 1.4% from the prior quarter.
Pultegroup (PHM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Pultegroup posted Weighted Average Shares Outstanding (Diluted) of 199.54 million, down 4.9% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for 12 consecutive years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 209.83 million in FY2024 (-5.1%), 221.16 million in FY2023 (-6.4%), 236.17 million in FY2022 (-9.1%) and 259.93 million in FY2021 (-3.5%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 51 quarters, with an average decline of 5.0% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding (Diluted) has ranged between 3.5% (Q4 2021) and 10.3% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 190.58 million (Q2 2026), 193.4 million (Q1 2026) and 199.54 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Pultegroup | 96.17 Bn | 89.53 Bn | 1.07 Bn | 751.35 Mn |
| 2 | Horton D R | 42.03 Bn | 42.63 Bn | - | 283.00 Mn |
| 3 | Lennar | 18.02 Bn | 8.18 Bn | 618.54 Mn | 237.76 Mn |
| 4 | Nvr | 15.97 Bn | 10.10 Bn | 482.36 Mn | 2.78 Mn |
| 5 | Toll Brothers | 14.02 Bn | 9.41 Bn | 625.22 Mn | 94.45 Mn |
| 6 | Cavco Industries | 5.03 Bn | 3.98 Bn | 147.61 Mn | 7.73 Mn |
| 7 | Champion Homes | 4.99 Bn | 2.21 Bn | 185.60 Mn | 54.49 Mn |
| 8 | Meritage Homes | 4.33 Bn | 1.30 Bn | 410.22 Mn | 65.13 Mn |
| 9 | M | 3.26 Bn | 442.92 Mn | 229.20 Mn | 25.95 Mn |
| 10 | Kb Home | 3.07 Bn | 2.27 Bn | -857.09 Mn | 61.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 751.35 Mn |
| Jun 30, 2026 | 762.33 Mn |
| Mar 31, 2026 | 773.61 Mn |
| Dec 31, 2025 | 798.15 Mn |
| Sep 30, 2025 | 792.56 Mn |
| Jun 30, 2025 | 802.72 Mn |
| Mar 31, 2025 | 814.66 Mn |
| Dec 31, 2024 | 839.32 Mn |
| Sep 30, 2024 | 833.84 Mn |
| Jun 30, 2024 | 844.80 Mn |
| Mar 31, 2024 | 854.18 Mn |
| Dec 31, 2023 | 884.65 Mn |
| Sep 30, 2023 | 878.73 Mn |
| Jun 30, 2023 | 893.57 Mn |
| Mar 31, 2023 | 903.83 Mn |
| Dec 31, 2022 | 944.66 Mn |
| Sep 30, 2022 | 929.20 Mn |
| Jun 30, 2022 | 950.58 Mn |
| Mar 31, 2022 | 987.46 Mn |
| Dec 31, 2021 | 1.04 Bn |
Pultegroup 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=shares-outstanding-diluted&ticker=PHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PHM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=PHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();