IDEAYA Biosciences (IDYA) Return on Sales [ROS] (2020 - 2026)
IDEAYA Biosciences' Return on Sales [ROS] was -1380.73% in Q2 2026, up 273.91 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 -92.66% through Jun 30, 2026; 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 +167.13 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 Q2 2026 was -1654.63% (Q1 2026), -869.53% (Q4 2025) and 52.18% (Q3 2025).
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 | IDEAYA Biosciences | 3.60 Bn | 674.16 Mn | - | -1,380.73% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Mar 31, 2021 | -126.05% |
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_KEY
import 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();