Kiniksa Pharmaceuticals International (KNSA) Assets (2017 - 2026)
Kiniksa Pharmaceuticals International (KNSA) reported Assets of $896.11 million for Q2 2026, up 35.5% from $661.15 million a year earlier and up 8.6% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Kiniksa Pharmaceuticals International posted Assets of $763.63 million, up 31.5% from FY2024.
- Assets has increased for four consecutive years, with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By year, Assets came in at $580.55 million in FY2024 (+10.3%), $526.32 million in FY2023 (+14.5%), $459.67 million in FY2022 (+97.5%) and $232.8 million in FY2021 (-33.4%).
- The Q2 2026 figure ranks as the highest quarterly Assets in data going back to Q4 2017.
- Year over year, Assets has now increased in each of the last 16 quarters, with growth averaging 24.4% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q2 2023 (growth of 130.0%); the low point was Q3 2021 (a decline of 34.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $825.28 million (Q1 2026), $763.63 million (Q4 2025) and $712.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.87 Bn | 10.61 Bn | 220.03 Mn | 896.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 896.11 Mn |
| Mar 31, 2026 | 825.28 Mn |
| Dec 31, 2025 | 763.63 Mn |
| Sep 30, 2025 | 712.33 Mn |
| Jun 30, 2025 | 661.15 Mn |
| Mar 31, 2025 | 599.33 Mn |
| Dec 31, 2024 | 580.55 Mn |
| Sep 30, 2024 | 555.30 Mn |
| Jun 30, 2024 | 542.43 Mn |
| Mar 31, 2024 | 519.67 Mn |
| Dec 31, 2023 | 526.32 Mn |
| Sep 30, 2023 | 483.06 Mn |
| Jun 30, 2023 | 484.33 Mn |
| Mar 31, 2023 | 442.86 Mn |
| Dec 31, 2022 | 459.67 Mn |
| Sep 30, 2022 | 459.95 Mn |
| Jun 30, 2022 | 210.58 Mn |
| Mar 31, 2022 | 230.97 Mn |
| Dec 31, 2021 | 232.80 Mn |
| Sep 30, 2021 | 252.86 Mn |
Kiniksa Pharmaceuticals International Assets 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=assets&ticker=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();