Kymera Therapeutics (KYMR) Return on Sales [ROS] (2019 - 2026)
Kymera Therapeutics' Return on Sales [ROS] came in at -116.32% for Q2 2026, up 620.50 percentage points from -736.82% a year earlier and up 128.56 percentage points from the prior quarter.
Kymera Therapeutics (KYMR) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kymera Therapeutics reported Return on Sales [ROS] of -333.51%, up 364.00 percentage points year-over-year; for FY2025, it came in at -891.07%, down 335.26 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -755.02 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -555.82% in FY2024 (-345.20 pp), -210.62% in FY2023 (+133.75 pp), -344.37% in FY2022 (-206.34 pp) and -138.03% in FY2021 (-1.98 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -637.77 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 620.50 percentage points), and the weakest in Q4 2025 (a drop of 2318.84 percentage points).
- Business Quant data shows KYMR's Return on Sales [ROS] at -244.88% (Q1 2026), -3411.01% (Q4 2025) and -3347.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Kymera Therapeutics | 11.66 Bn | 8.50 Bn | - | -396.04% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -396.04% |
| Jun 30, 2026 | -116.32% |
| Mar 31, 2026 | -244.88% |
| Dec 31, 2025 | -3,411.01% |
| Sep 30, 2025 | -3,347.36% |
| Jun 30, 2025 | -736.82% |
| Mar 31, 2025 | -336.77% |
| Dec 31, 2024 | -1,092.17% |
| Sep 30, 2024 | -1,927.93% |
| Jun 30, 2024 | -198.54% |
| Mar 31, 2024 | -562.18% |
| Dec 31, 2023 | -40.33% |
| Sep 30, 2023 | -1,216.35% |
| Jun 30, 2023 | -262.72% |
| Mar 31, 2023 | -478.83% |
| Dec 31, 2022 | -239.36% |
| Sep 30, 2022 | -469.92% |
| Jun 30, 2022 | -354.44% |
| Mar 31, 2022 | -383.84% |
| Dec 31, 2021 | -222.55% |
Kymera Therapeutics 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=KYMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KYMR", "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=KYMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();