Perella Weinberg Partners (PWP) Shares Outstanding (Diluted) (2021 - 2026)
Perella Weinberg Partners' Shares Outstanding (Diluted) came in at 101.73 million for Q2 2026, up 2.9% from 98.83 million a year earlier and up 0.6% from the prior quarter.
Perella Weinberg Partners (PWP) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Perella Weinberg Partners' Shares Outstanding (Diluted) was 100.85 million, up 89.6% from FY2024.
- Shares Outstanding (Diluted) carries a four-year compound annual growth rate of 2.1% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 53.19 million in FY2024 (-38.7%), 86.78 million in FY2023 (-3.3%), 89.76 million in FY2022 (-3.2%) and 92.75 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- Year-over-year, Shares Outstanding (Diluted) has increased for five consecutive quarters, with growth averaging 22.0% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2025 (growth of 89.6%), and the weakest in Q4 2024 (a decline of 38.7%).
- Business Quant data shows PWP's Shares Outstanding (Diluted) at 101.18 million (Q1 2026), 100.85 million (Q4 2025) and 100.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 361.28 Mn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 566.00 Mn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 912.00 Mn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 567.75 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 450.09 Mn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 104.90 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 80.03 Mn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 212.80 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 268.64 Mn |
| 10 | Perella Weinberg Partners | 936.67 Mn | 301.72 Mn | - | 101.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.73 Mn |
| Mar 31, 2026 | 101.18 Mn |
| Dec 31, 2025 | 100.85 Mn |
| Sep 30, 2025 | 100.23 Mn |
| Jun 30, 2025 | 98.83 Mn |
| Mar 31, 2025 | 75.84 Mn |
| Dec 31, 2024 | 53.19 Mn |
| Sep 30, 2024 | 69.80 Mn |
| Jun 30, 2024 | 54.59 Mn |
| Mar 31, 2024 | 90.52 Mn |
| Dec 31, 2023 | 86.78 Mn |
| Sep 30, 2023 | 86.65 Mn |
| Jun 30, 2023 | 86.52 Mn |
| Mar 31, 2023 | 86.61 Mn |
| Dec 31, 2022 | 89.76 Mn |
| Sep 30, 2022 | 87.75 Mn |
| Jun 30, 2022 | 90.69 Mn |
| Mar 31, 2022 | 93.23 Mn |
| Dec 31, 2021 | 92.75 Mn |
| Sep 30, 2021 | 92.73 Mn |
Perella Weinberg Partners 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=PWP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PWP", "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=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();