Progyny (PGNY) Shares Outstanding (Diluted) (2018 - 2026)
Progyny's Shares Outstanding (Diluted) was 82.14 million in Q2 2026, down 8.4% from 89.64 million a year earlier and down 3.1% from the prior quarter.
Progyny (PGNY) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Progyny came in at 89.86 million, down 5.9% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 95.45 million in FY2024 (-5.2%), 100.67 million in FY2023 (+0.7%), 99.96 million in FY2022 (-0.4%) and 100.36 million in FY2021 (+1.3%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q4 2019.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for nine straight quarters, with an average decline of 6.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 1.4%); the worst was Q1 2025 (a decline of 11.6%).
- Per Business Quant data, PGNY's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 84.76 million (Q1 2026), 89.86 million (Q4 2025) and 90.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 222.83 Mn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | 143.28 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 112.00 Mn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 82.00 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | 132.87 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | 83.96 Mn |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 182.40 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | 100.00 Mn |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 220.28 Mn |
| 10 | Progyny | 1.95 Bn | 832.12 Mn | 89.30 Mn | 82.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.14 Mn |
| Mar 31, 2026 | 84.76 Mn |
| Dec 31, 2025 | 89.86 Mn |
| Sep 30, 2025 | 90.23 Mn |
| Jun 30, 2025 | 89.64 Mn |
| Mar 31, 2025 | 89.31 Mn |
| Dec 31, 2024 | 95.45 Mn |
| Sep 30, 2024 | 93.82 Mn |
| Jun 30, 2024 | 97.84 Mn |
| Mar 31, 2024 | 101.05 Mn |
| Dec 31, 2023 | 100.67 Mn |
| Sep 30, 2023 | 100.88 Mn |
| Jun 30, 2023 | 100.62 Mn |
| Mar 31, 2023 | 100.17 Mn |
| Dec 31, 2022 | 99.96 Mn |
| Sep 30, 2022 | 99.82 Mn |
| Jun 30, 2022 | 99.67 Mn |
| Mar 31, 2022 | 99.94 Mn |
| Dec 31, 2021 | 100.36 Mn |
| Sep 30, 2021 | 100.37 Mn |
Progyny 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=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PGNY", "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=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();