Porch (PRCH) Shares Outstanding (Diluted) (2019 - 2026)
Porch (PRCH) recorded Weighted Average Shares Outstanding (Diluted) of 126.3 million in Q3 2026, up 21.1% from 104.3 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Porch (PRCH) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Porch reported Weighted Average Shares Outstanding (Diluted) of 103.69 million, up 4.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 99.59 million in FY2024 (+3.7%), 96.06 million in FY2023 (-1.3%), 97.35 million in FY2022 (+3.7%) and 93.89 million in FY2021 (+158.3%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2025.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in five of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 158.3% in Q4 2021, against a decline of 15.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 120.74 million (Q2 2026), 106.07 million (Q1 2026) and 103.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.08 Bn | 85.72 Bn | 8.67 Bn | 389.37 Mn |
| 2 | Progressive | 131.88 Bn | 107.40 Bn | 8.29 Bn | 582.20 Mn |
| 3 | Marsh & Mclennan Companies | 97.92 Bn | 90.08 Bn | - | 479.00 Mn |
| 4 | Travelers Companies | 81.26 Bn | 58.74 Bn | 5.93 Bn | 210.60 Mn |
| 5 | Manulife Financial | 75.55 Bn | -19.96 Bn | - | 1.71 Bn |
| 6 | Arthur J. Gallagher | 72.14 Bn | 66.73 Bn | - | 259.40 Mn |
| 7 | Aon | 71.57 Bn | 50.77 Bn | - | 213.00 Mn |
| 8 | Metlife | 66.01 Bn | -40.77 Bn | 7.82 Bn | 646.90 Mn |
| 9 | Allstate | 63.51 Bn | 23.35 Bn | 7.41 Bn | 255.30 Mn |
| 10 | Porch | 2.28 Bn | 1.43 Bn | 107.87 Mn | 126.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.30 Mn |
| Jun 30, 2026 | 120.74 Mn |
| Mar 31, 2026 | 106.07 Mn |
| Dec 31, 2025 | 103.69 Mn |
| Sep 30, 2025 | 104.30 Mn |
| Jun 30, 2025 | 131.68 Mn |
| Mar 31, 2025 | 113.30 Mn |
| Dec 31, 2024 | 99.59 Mn |
| Sep 30, 2024 | 124.03 Mn |
| Jun 30, 2024 | 99.19 Mn |
| Mar 31, 2024 | 97.51 Mn |
| Dec 31, 2023 | 96.06 Mn |
| Sep 30, 2023 | 96.37 Mn |
| Jun 30, 2023 | 95.73 Mn |
| Mar 31, 2023 | 95.21 Mn |
| Dec 31, 2022 | 97.35 Mn |
| Sep 30, 2022 | 97.79 Mn |
| Jun 30, 2022 | 97.14 Mn |
| Mar 31, 2022 | 96.07 Mn |
| Dec 31, 2021 | 93.89 Mn |
API Access
Porch 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=PRCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PRCH", "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=PRCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();