Kiniksa Pharmaceuticals International (KNSA) Total Non-Current Liabilities (2018 - 2026)
Kiniksa Pharmaceuticals International's Total Non-Current Liabilities was $207.94 million in Q2 2026, up 32.5% from $156.88 million a year earlier and up 7.0% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Kiniksa Pharmaceuticals International came in at $177.51 million, up 26.5% from FY2024.
- Total Non-Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 37.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $140.29 million in FY2024 (+63.8%), $85.63 million in FY2023 (+38.8%), $61.68 million in FY2022 (+29.9%) and $47.49 million in FY2021 (+29.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2018.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 13 straight quarters, with growth averaging 45.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 95.4%); the worst was Q1 2023 (a decline of 21.1%).
- Per Business Quant data, KNSA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $194.28 million (Q1 2026), $177.51 million (Q4 2025) and $162.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.81 Bn | 10.55 Bn | 220.03 Mn | 207.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.94 Mn |
| Mar 31, 2026 | 194.28 Mn |
| Dec 31, 2025 | 177.51 Mn |
| Sep 30, 2025 | 162.43 Mn |
| Jun 30, 2025 | 156.88 Mn |
| Mar 31, 2025 | 136.70 Mn |
| Dec 31, 2024 | 140.29 Mn |
| Sep 30, 2024 | 116.33 Mn |
| Jun 30, 2024 | 105.41 Mn |
| Mar 31, 2024 | 85.89 Mn |
| Dec 31, 2023 | 85.63 Mn |
| Sep 30, 2023 | 75.99 Mn |
| Jun 30, 2023 | 70.76 Mn |
| Mar 31, 2023 | 50.88 Mn |
| Dec 31, 2022 | 61.68 Mn |
| Sep 30, 2022 | 74.13 Mn |
| Jun 30, 2022 | 56.82 Mn |
| Mar 31, 2022 | 64.45 Mn |
| Dec 31, 2021 | 47.49 Mn |
| Sep 30, 2021 | 37.93 Mn |
Kiniksa Pharmaceuticals International Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();