Precipio (PRPO) Shares Outstanding (2009 - 2026)
Precipio (PRPO) reported Weighted Average Shares Outstanding of 1.79 million for Q3 2026, up 9.4% from 1.64 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Precipio (PRPO) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Precipio posted Weighted Average Shares Outstanding of 1.61 million, up 9.5% from FY2024.
- Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 1.47 million in FY2024 (+12.9%), 1.3 million in FY2023 (+14.1%), 1.14 million in FY2022 (+7.8%) and 1.05 million in FY2021 (+28.0%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 33 quarters, with growth averaging 11.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 0.3% (Q3 2022) to 28.0% (Q4 2021).
- Per Business Quant data, the three quarters before Q3 2026 came in at 1.79 million (Q2 2026), 1.78 million (Q1 2026) and 1.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | 214.59 Mn |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | 144.07 Mn |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | 81.10 Mn |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 110.00 Mn |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | 134.42 Mn |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 207.02 Mn |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | 98.30 Mn |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | 181.31 Mn |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 63.84 Mn |
| 10 | Precipio | 39.68 Mn | 27.77 Mn | 3.38 Mn | 1.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.79 Mn |
| Jun 30, 2026 | 1.79 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 1.61 Mn |
| Sep 30, 2025 | 1.64 Mn |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 1.50 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.46 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.30 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.22 Mn |
| Mar 31, 2023 | 1.16 Mn |
| Dec 31, 2022 | 1.14 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 1.14 Mn |
| Dec 31, 2021 | 1.05 Mn |
API Access
Precipio Shares Outstanding 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&ticker=PRPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "PRPO", "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&ticker=PRPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();