PJT Partners (PJT) Shares Outstanding (Diluted) (2015 - 2026)
PJT Partners' Shares Outstanding (Diluted) was 28.51 million in Q2 2026, down 34.4% from 43.44 million a year earlier and down 34.1% from the prior quarter.
PJT Partners (PJT) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at PJT Partners came in at 28.61 million, down 35.1% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 44.11 million in FY2024 (+5.3%), 41.88 million in FY2023 (+57.4%), 26.62 million in FY2022 (-37.2%) and 42.36 million in FY2021 (-1.8%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q1 2024.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for four straight quarters, with growth averaging 2.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2024 (growth of 67.6%); the worst was Q1 2022 (a decline of 38.0%).
- Per Business Quant data, PJT's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 43.28 million (Q1 2026), 28.61 million (Q4 2025) and 28.63 million (Q3 2025).
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 | PJT Partners | 3.65 Bn | 2.17 Bn | - | 28.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.51 Mn |
| Mar 31, 2026 | 43.28 Mn |
| Dec 31, 2025 | 28.61 Mn |
| Sep 30, 2025 | 28.63 Mn |
| Jun 30, 2025 | 43.44 Mn |
| Mar 31, 2025 | 44.46 Mn |
| Dec 31, 2024 | 44.11 Mn |
| Sep 30, 2024 | 44.64 Mn |
| Jun 30, 2024 | 43.09 Mn |
| Mar 31, 2024 | 28.17 Mn |
| Dec 31, 2023 | 41.88 Mn |
| Sep 30, 2023 | 26.64 Mn |
| Jun 30, 2023 | 26.33 Mn |
| Mar 31, 2023 | 26.92 Mn |
| Dec 31, 2022 | 26.62 Mn |
| Sep 30, 2022 | 26.52 Mn |
| Jun 30, 2022 | 26.42 Mn |
| Mar 31, 2022 | 26.55 Mn |
| Dec 31, 2021 | 42.36 Mn |
| Sep 30, 2021 | 42.01 Mn |
PJT 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=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PJT", "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=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();