Kiniksa Pharmaceuticals International (KNSA) Non-Current Assets (2017 - 2026)
Kiniksa Pharmaceuticals International (KNSA) posted Non-Current Assets of $227.48 million for Q2 2026, down 5.5% from $240.84 million a year earlier and down 1.6% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Kiniksa Pharmaceuticals International's Non-Current Assets came in at $236.46 million, down 4.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 70.9% (FY2020 to FY2025).
- In prior years, Kiniksa Pharmaceuticals International's Non-Current Assets was $248.75 million in FY2024 (-0.5%), $250.03 million in FY2023 (+15.4%), $216.61 million in FY2022 (+495.8%) and $36.35 million in FY2021 (+124.2%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2023.
- On a year-over-year basis, Non-Current Assets has declined in each of the last seven quarters, with an average decline of 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2023, with growth of 677.8%; the weakest was Q2 2022, with a decline of 10.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $231.11 million (Q1 2026), $236.46 million (Q4 2025) and $236.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.87 Bn | 10.61 Bn | 220.03 Mn | 227.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.48 Mn |
| Mar 31, 2026 | 231.11 Mn |
| Dec 31, 2025 | 236.46 Mn |
| Sep 30, 2025 | 236.80 Mn |
| Jun 30, 2025 | 240.84 Mn |
| Mar 31, 2025 | 243.42 Mn |
| Dec 31, 2024 | 248.75 Mn |
| Sep 30, 2024 | 244.00 Mn |
| Jun 30, 2024 | 241.41 Mn |
| Mar 31, 2024 | 249.08 Mn |
| Dec 31, 2023 | 250.03 Mn |
| Sep 30, 2023 | 226.95 Mn |
| Jun 30, 2023 | 238.29 Mn |
| Mar 31, 2023 | 211.36 Mn |
| Dec 31, 2022 | 216.61 Mn |
| Sep 30, 2022 | 218.14 Mn |
| Jun 30, 2022 | 30.64 Mn |
| Mar 31, 2022 | 32.21 Mn |
| Dec 31, 2021 | 36.35 Mn |
| Sep 30, 2021 | 35.35 Mn |
Kiniksa Pharmaceuticals International Non-Current 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=non-current-assets&ticker=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();