Prokidney (PROK) Shares Outstanding (Diluted) (2021 - 2026)
Prokidney's Shares Outstanding (Diluted) was 186.56 million in Q2 2026, up 42.7% from 130.73 million a year earlier and up 31.5% from the prior quarter.
Prokidney (PROK) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Prokidney came in at 133.94 million, up 36.8% from FY2024.
- Shares Outstanding (Diluted) has now increased for three consecutive years, with a four-year compound annual growth rate of 122.1% (FY2021 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 97.92 million in FY2024 (+58.7%), 61.71 million in FY2023 (+0.3%), 61.54 million in FY2022 and 5.5 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for nine straight quarters, with growth averaging 55.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2022 (growth of 479.8%); the worst was Q1 2024 (a decline of 1.0%).
- Per Business Quant data, PROK's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 141.93 million (Q1 2026), 133.94 million (Q4 2025) and 134.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Prokidney | 848.66 Mn | 1.96 Bn | - | 186.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.56 Mn |
| Mar 31, 2026 | 141.93 Mn |
| Dec 31, 2025 | 133.94 Mn |
| Sep 30, 2025 | 134.99 Mn |
| Jun 30, 2025 | 130.73 Mn |
| Mar 31, 2025 | 128.98 Mn |
| Dec 31, 2024 | 97.92 Mn |
| Sep 30, 2024 | 126.17 Mn |
| Jun 30, 2024 | 75.91 Mn |
| Mar 31, 2024 | 60.95 Mn |
| Dec 31, 2023 | 61.71 Mn |
| Sep 30, 2023 | 61.59 Mn |
| Jun 30, 2023 | 64.56 Mn |
| Mar 31, 2023 | 61.54 Mn |
| Dec 31, 2022 | 61.54 Mn |
| Sep 30, 2022 | 61.54 Mn |
| Jun 30, 2022 | 31.89 Mn |
| Mar 31, 2022 | 5.50 Mn |
| Dec 31, 2021 | 5.50 Mn |
| Sep 30, 2021 | 5.50 Mn |
Prokidney 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=PROK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PROK", "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=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();