Profusa (PFSA) Shares Outstanding (Diluted) (2021 - 2026)
Profusa's Weighted Average Shares Outstanding (Diluted) was 57,676 in Q2 2026, up 11.0% from 51,938 a year earlier and up 241.7% from the prior quarter.
Profusa (PFSA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Profusa came in at 3,348, down 93.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a four-year compound annual growth rate of -46.8% (FY2021 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 51,938 in FY2024 (unchanged), 51,938 in FY2023 (unchanged), 51,938 in FY2022 (+24.7%) and 41,666 in FY2021.
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 3,348 (Q4 2025) and 317,311 (Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in two of the last eight quarters, with growth averaging 45.1%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q3 2025 (growth of 510.9%); the worst was Q4 2025 (a decline of 93.6%).
- Per Business Quant data, PFSA's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 16,881 (Q1 2026), 3,348 (Q4 2025) and 317,311 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 386.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Profusa | 31,664.13 | -5.85 Mn | - | 57,676.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57,676.00 |
| Mar 31, 2026 | 16,881.00 |
| Dec 31, 2025 | 3,348.00 |
| Sep 30, 2025 | 317,311.00 |
| Jun 30, 2025 | 51,938.00 |
| Mar 31, 2025 | 51,938.00 |
| Dec 31, 2024 | 51,938.00 |
| Sep 30, 2024 | 51,938.00 |
| Jun 30, 2024 | 51,938.00 |
| Mar 31, 2024 | 51,938.00 |
| Dec 31, 2023 | 51,938.00 |
| Sep 30, 2023 | 51,938.00 |
| Jun 30, 2023 | 51,938.00 |
| Mar 31, 2023 | 51,938.00 |
| Dec 31, 2022 | 51,938.00 |
| Sep 30, 2022 | 51,938.00 |
| Jun 30, 2022 | 51,938.00 |
| Mar 31, 2022 | 51,938.00 |
| Dec 31, 2021 | 41,666.00 |
Profusa 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=PFSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PFSA", "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=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();