Korsana Biosciences (KRSA) Shares Outstanding (Entity) (2018 - 2025)
Korsana Biosciences' Shares Outstanding (Entity) came in at 527,880 for Q3 2025, up 46.0% from 361,557 a year earlier and up 20.1% from the prior quarter.
Korsana Biosciences (KRSA) Shares Outstanding (Entity) (2018 - 2025) Analysis & Trends
For FY2024, Korsana Biosciences' Shares Outstanding (Entity) was 363,703, up 2.9% from FY2023.
- Shares Outstanding (Entity) has increased in each of the last four years, with a five-year compound annual growth rate of 350.5% (FY2019 to FY2024).
- Going back by year, Shares Outstanding (Entity) was 353,451 in FY2023 (+13.7%), 310,848 in FY2022 (+0.2%), 310,073 in FY2021 (+27.5%) and 243,195 in FY2020.
- The Q3 2025 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2018.
- Year-over-year, Shares Outstanding (Entity) has increased for 18 consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.2% (Q1 2023) to 46.0% (Q3 2025).
- Business Quant data shows KRSA's Shares Outstanding (Entity) at 439,424 (Q2 2025), 437,278 (Q1 2025) and 363,703 (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 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 | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.60 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 | 253.35 Mn |
| 10 | Korsana Biosciences | 16.89 Mn | 2.44 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 527,880.00 |
| Jun 30, 2025 | 439,424.00 |
| Mar 31, 2025 | 437,278.00 |
| Dec 31, 2024 | 363,703.00 |
| Sep 30, 2024 | 361,557.00 |
| Jun 30, 2024 | 359,411.00 |
| Mar 31, 2024 | 357,086.00 |
| Dec 31, 2023 | 353,451.00 |
| Sep 30, 2023 | 349,299.00 |
| Jun 30, 2023 | 343,971.00 |
| Mar 31, 2023 | 310,892.00 |
| Dec 31, 2022 | 310,848.00 |
| Sep 30, 2022 | 310,673.00 |
| Jun 30, 2022 | 310,570.00 |
| Mar 31, 2022 | 310,345.00 |
| Dec 31, 2021 | 310,073.00 |
| Sep 30, 2021 | 309,358.00 |
| Jun 30, 2021 | 255,050.00 |
| Mar 31, 2021 | 243,785.00 |
| Dec 31, 2020 | 243,195.00 |
Korsana Biosciences Shares Outstanding (Entity) 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-entity&ticker=KRSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "KRSA", "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-entity&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();