Erasca (ERAS) Return on Sales [ROS] (2020 - 2026)
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Analysis
Erasca (ERAS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 28.37% |
| 10 | Erasca | 4.30 Bn | 3.23 Bn | - | -1,321.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,321.65% |
| Mar 31, 2026 | -4,223.67% |
| Dec 31, 2025 | -914.30% |
| Sep 30, 2025 | -869.96% |
| Jun 30, 2025 | -880.48% |
| Mar 31, 2025 | -751.69% |
| Dec 31, 2024 | -675.98% |
| Sep 30, 2024 | -634.55% |
| Jun 30, 2024 | -1,344.61% |
| Mar 31, 2024 | -996.18% |
| Dec 31, 2023 | -799.24% |
| Sep 30, 2023 | -797.47% |
| Jun 30, 2023 | -846.15% |
| Mar 31, 2023 | -954.99% |
| Dec 31, 2022 | -4,797.71% |
| Sep 30, 2022 | -2,428.52% |
| Jun 30, 2022 | -9,253.87% |
| Mar 31, 2022 | -32,021.93% |
| Dec 31, 2021 | -38,810.00% |
| Sep 30, 2021 | -93,967.35% |
API Access
Erasca 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=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ERAS", "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=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();