Kiniksa Pharmaceuticals International (KNSA) Shares Outstanding (Diluted) (2019 - 2026)
Kiniksa Pharmaceuticals International (KNSA) posted Shares Outstanding (Diluted) of 83.4 million for Q2 2026, up 7.0% from 77.94 million a year earlier and up 1.2% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Kiniksa Pharmaceuticals International's Shares Outstanding (Diluted) came in at 78.98 million, up 10.6% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Kiniksa Pharmaceuticals International's Shares Outstanding (Diluted) was 71.42 million in FY2024 (-0.7%), 71.92 million in FY2023 (+2.1%), 70.42 million in FY2022 (+2.7%) and 68.58 million in FY2021 (+10.9%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last six quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 27.0%; the weakest was Q2 2024, with a decline of 0.9%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 82.41 million (Q1 2026), 78.98 million (Q4 2025) and 80.04 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 | Kiniksa Pharmaceuticals International | 11.64 Bn | 10.38 Bn | 220.03 Mn | 83.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.40 Mn |
| Mar 31, 2026 | 82.41 Mn |
| Dec 31, 2025 | 78.98 Mn |
| Sep 30, 2025 | 80.04 Mn |
| Jun 30, 2025 | 77.94 Mn |
| Mar 31, 2025 | 76.15 Mn |
| Dec 31, 2024 | 71.42 Mn |
| Sep 30, 2024 | 71.73 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | 70.63 Mn |
| Dec 31, 2023 | 71.92 Mn |
| Sep 30, 2023 | 70.19 Mn |
| Jun 30, 2023 | 71.63 Mn |
| Mar 31, 2023 | 69.75 Mn |
| Dec 31, 2022 | 70.42 Mn |
| Sep 30, 2022 | 70.55 Mn |
| Jun 30, 2022 | 69.29 Mn |
| Mar 31, 2022 | 69.14 Mn |
| Dec 31, 2021 | 68.58 Mn |
| Sep 30, 2021 | 68.66 Mn |
Kiniksa Pharmaceuticals International 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=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "KNSA", "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=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();