Kiniksa Pharmaceuticals International (KNSA) Total Liabilities (2017 - 2026)
Kiniksa Pharmaceuticals International's Total Liabilities came in at $241.96 million for Q2 2026, up 45.6% from $166.14 million a year earlier and up 10.2% from the prior quarter.
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Analysis
Kiniksa Pharmaceuticals International (KNSA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Kiniksa Pharmaceuticals International's Total Liabilities was $196.03 million, up 37.9% from FY2024.
- Total Liabilities has increased in each of the last six years, with a five-year compound annual growth rate of 39.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $142.12 million in FY2024 (+62.5%), $87.48 million in FY2023 (+37.7%), $63.52 million in FY2022 (+33.0%) and $47.76 million in FY2021 (+27.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2017.
- Year-over-year, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 52.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2022 (growth of 95.7%), and the weakest in Q1 2023 (a decline of 18.5%).
- Business Quant data shows KNSA's Total Liabilities at $219.59 million (Q1 2026), $196.03 million (Q4 2025) and $176.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.87 Bn | 10.61 Bn | 220.03 Mn | 241.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.96 Mn |
| Mar 31, 2026 | 219.59 Mn |
| Dec 31, 2025 | 196.03 Mn |
| Sep 30, 2025 | 176.95 Mn |
| Jun 30, 2025 | 166.14 Mn |
| Mar 31, 2025 | 141.84 Mn |
| Dec 31, 2024 | 142.12 Mn |
| Sep 30, 2024 | 118.29 Mn |
| Jun 30, 2024 | 107.33 Mn |
| Mar 31, 2024 | 87.78 Mn |
| Dec 31, 2023 | 87.48 Mn |
| Sep 30, 2023 | 77.94 Mn |
| Jun 30, 2023 | 72.68 Mn |
| Mar 31, 2023 | 52.77 Mn |
| Dec 31, 2022 | 63.52 Mn |
| Sep 30, 2022 | 75.95 Mn |
| Jun 30, 2022 | 57.08 Mn |
| Mar 31, 2022 | 64.72 Mn |
| Dec 31, 2021 | 47.76 Mn |
| Sep 30, 2021 | 38.81 Mn |
API Access
Kiniksa Pharmaceuticals International Total 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-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();