Kiniksa Pharmaceuticals International (KNSA) Return on Sales [ROS] (2021 - 2026)
Kiniksa Pharmaceuticals International's Return on Sales [ROS] came in at 11.16% for Q2 2026, down 1.69 percentage points from 12.86% a year earlier and down 2.50 percentage points from the prior quarter.
Kiniksa Pharmaceuticals International (KNSA) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kiniksa Pharmaceuticals International reported Return on Sales [ROS] of 11.92%, up 11.08 percentage points year-over-year; for FY2025, it was 11.40%, up 22.17 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +417.78 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -10.78% in FY2024 (-1.45 pp), -9.32% in FY2023 (-13.76 pp), 4.44% in FY2022 (+410.82 pp) and -406.38% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is -253.55% (Q3 2021) to 46.82% (Q3 2022).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +10.61 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 454.61 percentage points), and the weakest in Q3 2023 (a drop of 63.12 percentage points).
- Business Quant data shows KNSA's Return on Sales [ROS] at 13.66% (Q1 2026), 9.78% (Q4 2025) and 13.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Kiniksa Pharmaceuticals International | 11.82 Bn | 10.56 Bn | 220.03 Mn | 11.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.16% |
| Mar 31, 2026 | 13.66% |
| Dec 31, 2025 | 9.78% |
| Sep 30, 2025 | 13.28% |
| Jun 30, 2025 | 12.86% |
| Mar 31, 2025 | 9.63% |
| Dec 31, 2024 | -15.75% |
| Sep 30, 2024 | -8.61% |
| Jun 30, 2024 | -0.11% |
| Mar 31, 2024 | -20.71% |
| Dec 31, 2023 | 0.10% |
| Sep 30, 2023 | -16.30% |
| Jun 30, 2023 | -4.41% |
| Mar 31, 2023 | -23.16% |
| Dec 31, 2022 | 9.77% |
| Sep 30, 2022 | 46.82% |
| Jun 30, 2022 | -71.81% |
| Mar 31, 2022 | -72.44% |
| Dec 31, 2021 | -192.75% |
| Sep 30, 2021 | -253.55% |
Kiniksa Pharmaceuticals International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=KNSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=KNSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();