Kiniksa Pharmaceuticals International (KNSA) Other Accumulated Expenses (2017 - 2026)
Kiniksa Pharmaceuticals International's Other Accumulated Expenses came in at $20.05 million for Q2 2026, up 11.4% from $18 million a year earlier but down 3.1% from the prior quarter.
Powered by 
Analysis
Kiniksa Pharmaceuticals International (KNSA) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Kiniksa Pharmaceuticals International's Other Accumulated Expenses was $22.13 million, up 29.8% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $17.05 million in FY2024 (+108.1%), $8.19 million in FY2023 (-2.2%), $8.38 million in FY2022 (-66.5%) and $24.98 million in FY2021 (+47.4%).
- The five-year range for quarterly Other Accumulated Expenses is $4.33 million (Q1 2023) to $24.98 million (Q4 2021).
- Year-over-year, Other Accumulated Expenses has increased for ten consecutive quarters, with growth averaging 49.4% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2024 (growth of 163.7%), and the weakest in Q1 2023 (a decline of 80.5%).
- Business Quant data shows KNSA's Other Accumulated Expenses at $20.69 million (Q1 2026), $22.13 million (Q4 2025) and $20.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Kiniksa Pharmaceuticals International | 11.82 Bn | 10.56 Bn | 220.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.05 Mn |
| Mar 31, 2026 | 20.69 Mn |
| Dec 31, 2025 | 22.13 Mn |
| Sep 30, 2025 | 20.52 Mn |
| Jun 30, 2025 | 18.00 Mn |
| Mar 31, 2025 | 17.09 Mn |
| Dec 31, 2024 | 17.05 Mn |
| Sep 30, 2024 | 16.07 Mn |
| Jun 30, 2024 | 11.48 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | 8.19 Mn |
| Sep 30, 2023 | 8.41 Mn |
| Jun 30, 2023 | 7.71 Mn |
| Mar 31, 2023 | 4.33 Mn |
| Dec 31, 2022 | 8.38 Mn |
| Sep 30, 2022 | 13.56 Mn |
| Jun 30, 2022 | 14.37 Mn |
| Mar 31, 2022 | 22.21 Mn |
| Dec 31, 2021 | 24.98 Mn |
| Sep 30, 2021 | 17.81 Mn |
API Access
Kiniksa Pharmaceuticals International Other Accumulated Expenses 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=other-accumulated-expenses&ticker=KNSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();