IDEAYA Biosciences (IDYA) Return on Sales [ROS] (2020 - 2026)
IDEAYA Biosciences' Return on Sales [ROS] was -1343.80% in Q3 2026, down 1395.98 percentage points from 52.18% a year earlier but up 36.93 percentage points from the prior quarter.
IDEAYA Biosciences (IDYA) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, IDEAYA Biosciences' Return on Sales [ROS] was -1267.38% through Sep 30, 2026, down 1170.15 percentage points year-over-year; for FY2025, it came in at -72.84%, up 4598.23 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +108.06 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -4671.07% in FY2024 (-4096.22 pp), -574.85% in FY2023 (-452.13 pp), -122.72% in FY2022 (+57.19 pp) and -179.91% in FY2021 (+0.99 pp).
- Quarterly Return on Sales [ROS] has moved between -5730.60% (Q3 2024) and 52.18% (Q3 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last four quarters, with an average year-over-year change of +1146.51 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2025 (a gain of 5782.78 percentage points); the worst was Q3 2024 (a drop of 5313.50 percentage points).
- Per Business Quant data, IDYA's Return on Sales [ROS] in the three quarters before Q3 2026 was -1380.73% (Q2 2026), -1654.63% (Q1 2026) and -869.53% (Q4 2025).
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 | IDEAYA Biosciences | 3.07 Bn | 90.55 Mn | - | -1,343.80% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1,343.80% |
| Jun 30, 2026 | -1,380.73% |
| Mar 31, 2026 | -1,654.63% |
| Dec 31, 2025 | -869.53% |
| Sep 30, 2025 | 52.18% |
| Dec 31, 2024 | -2,059.11% |
| Sep 30, 2024 | -5,730.60% |
| Jun 30, 2024 | -1,600.23% |
| Mar 31, 2024 | -1,026.63% |
| Dec 31, 2023 | -1,068.77% |
| Sep 30, 2023 | -417.09% |
| Jun 30, 2023 | -922.94% |
| Mar 31, 2023 | -333.49% |
| Dec 31, 2022 | -657.46% |
| Sep 30, 2022 | 2.22% |
| Jun 30, 2022 | -384.53% |
| Mar 31, 2022 | -125.19% |
| Dec 31, 2021 | -620.16% |
| Sep 30, 2021 | -130.49% |
| Jun 30, 2021 | -126.21% |
IDEAYA Biosciences 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=IDYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IDYA", "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=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();