Kiniksa Pharmaceuticals International (KNSA) Total Current Liabilities (2017 - 2026)
Kiniksa Pharmaceuticals International's Total Current Liabilities came in at $171.25 million for Q2 2026, up 45.3% from $117.83 million a year earlier and up 9.3% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Kiniksa Pharmaceuticals International's Total Current Liabilities was $139.18 million, up 38.3% from FY2024.
- Total Current Liabilities has increased in each of the last six years, with a five-year compound annual growth rate of 34.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $100.62 million in FY2024 (+58.0%), $63.67 million in FY2023 (+35.3%), $47.07 million in FY2022 (+5.0%) and $44.82 million in FY2021 (+40.8%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2017.
- Year-over-year, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 50.3% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2024 (growth of 79.5%), and the weakest in Q1 2023 (a decline of 27.3%).
- Business Quant data shows KNSA's Total Current Liabilities at $156.61 million (Q1 2026), $139.18 million (Q4 2025) and $123.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.87 Bn | 10.61 Bn | 220.03 Mn | 171.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.25 Mn |
| Mar 31, 2026 | 156.61 Mn |
| Dec 31, 2025 | 139.18 Mn |
| Sep 30, 2025 | 123.59 Mn |
| Jun 30, 2025 | 117.83 Mn |
| Mar 31, 2025 | 97.27 Mn |
| Dec 31, 2024 | 100.62 Mn |
| Sep 30, 2024 | 95.96 Mn |
| Jun 30, 2024 | 84.29 Mn |
| Mar 31, 2024 | 64.21 Mn |
| Dec 31, 2023 | 63.67 Mn |
| Sep 30, 2023 | 53.47 Mn |
| Jun 30, 2023 | 47.47 Mn |
| Mar 31, 2023 | 36.59 Mn |
| Dec 31, 2022 | 47.07 Mn |
| Sep 30, 2022 | 56.49 Mn |
| Jun 30, 2022 | 43.54 Mn |
| Mar 31, 2022 | 50.35 Mn |
| Dec 31, 2021 | 44.82 Mn |
| Sep 30, 2021 | 34.43 Mn |
Kiniksa Pharmaceuticals International Total 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-current-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();