Kiniksa Pharmaceuticals International (KNSA) Tax Provisions (2017 - 2026)
Kiniksa Pharmaceuticals International's Tax Provisions was $5.71 million in Q2 2026, up 13.2% from $5.05 million a year earlier but down 43.4% from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Tax Provisions (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kiniksa Pharmaceuticals International's Tax Provisions was $33.59 million through Jun 30, 2026, up 254.7% year-over-year; for FY2025, it came in at $29.86 million, up 324.1% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 42.1% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $7.04 million in FY2024, -$30.74 million in FY2023, -$172.34 million in FY2022 and $1.39 million in FY2021 (-73.1%).
- Quarterly Tax Provisions has moved between -$177.36 million (Q3 2022) and $10.09 million (Q1 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in five of the last six quarters, with growth averaging 34.1%.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2022 (growth of 816.7%); the worst was Q4 2021 (a decline of 64.6%).
- Per Business Quant data, KNSA's Tax Provisions in the three quarters before Q2 2026 was $10.09 million (Q1 2026), $9.07 million (Q4 2025) and $8.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.56 Bn | 1,136.14 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 635.76 Bn | 554.29 Bn | 17.26 Bn | 1.21 Bn |
| 3 | AbbVie | 503.27 Bn | 476.38 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 377.51 Bn | 331.89 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 304.07 Bn | 268.06 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.22 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 242.06 Bn | 197.46 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 194.26 Bn | 168.46 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 172.62 Bn | 119.27 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Kiniksa Pharmaceuticals International | 6.24 Bn | 4.98 Bn | 220.03 Mn | 5.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Mn |
| Mar 31, 2026 | 10.09 Mn |
| Dec 31, 2025 | 9.07 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 5.05 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | -8.09 Mn |
| Sep 30, 2024 | 5.49 Mn |
| Jun 30, 2024 | 6.21 Mn |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | -22.79 Mn |
| Sep 30, 2023 | 5.36 Mn |
| Jun 30, 2023 | -16.21 Mn |
| Mar 31, 2023 | 2.91 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | -177.36 Mn |
| Jun 30, 2022 | 716,000.00 |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 279,000.00 |
| Sep 30, 2021 | -118,000.00 |
Kiniksa Pharmaceuticals International Tax Provisions 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=tax-provisions&ticker=KNSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();