Kiniksa Pharmaceuticals International (KNSA) Price to Earnings (2022 - 2026)
Kiniksa Pharmaceuticals International's (KNSA) Price to Earnings came in at 123.69 for Q2 2026, down 85.5% from 855.75 a year earlier but up 22.2% from the prior quarter.
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Analysis
Kiniksa Pharmaceuticals International (KNSA) Price to Earnings (2022 - 2026) Analysis & Trends
For FY2025, Kiniksa Pharmaceuticals International's Price to Earnings stood at 106.84.
- In prior years, Kiniksa Pharmaceuticals International's Price to Earnings was 175.69 in FY2023 and 11.39 in FY2022.
- Quarterly Price to Earnings has run from a low of 7.66 in Q1 2023 to a high of 855.75 in Q2 2025 over five years.
- According to Business Quant data, Price to Earnings for the three prior quarters was 101.25 (Q1 2026), 106.84 (Q4 2025) and 163.88 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.82 Bn | 10.56 Bn | 220.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.69 |
| Mar 31, 2026 | 101.25 |
| Dec 31, 2025 | 106.84 |
| Sep 30, 2025 | 163.88 |
| Jun 30, 2025 | 855.75 |
| Mar 31, 2024 | 313.30 |
| Dec 31, 2023 | 175.69 |
| Jun 30, 2023 | 8.54 |
| Mar 31, 2023 | 7.66 |
| Dec 31, 2022 | 11.39 |
| Sep 30, 2022 | 12.52 |
API Access
Kiniksa Pharmaceuticals International Price to Earnings 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=price-to-earnings&ticker=KNSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();