Erasca (ERAS) Return on Assets [ROA] (2021 - 2026)
Erasca (ERAS) posted Return on Assets [ROA] of -67.54% for Q2 2026, down 35.53 percentage points from -32.01% a year earlier but up 0.85 percentage points from the prior quarter.
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Analysis
Erasca (ERAS) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Erasca's Return on Assets [ROA] came in at -31.36%, up 8.65 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a four-year change of +8.53 percentage points (FY2021 to FY2025).
- In prior years, Erasca's Return on Assets [ROA] was -40.00% in FY2024 (-8.91 pp), -31.10% in FY2023 (+17.60 pp), -48.70% in FY2022 (-8.81 pp) and -39.88% in FY2021.
- Quarterly Return on Assets [ROA] has run from a low of -68.39% in Q1 2026 to a high of -24.41% in Q4 2021 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in five of the last eight quarters, with an average year-over-year change of -4.41 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2024, with a gain of 23.43 percentage points; the weakest was Q2 2026, with a drop of 35.53 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -68.39% (Q1 2026), -34.51% (Q4 2025) and -33.27% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | Erasca | 4.61 Bn | 4.61 Bn | - | -67.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -67.54% |
| Mar 31, 2026 | -68.39% |
| Dec 31, 2025 | -34.51% |
| Sep 30, 2025 | -33.27% |
| Jun 30, 2025 | -32.01% |
| Mar 31, 2025 | -36.22% |
| Dec 31, 2024 | -34.82% |
| Sep 30, 2024 | -33.71% |
| Jun 30, 2024 | -39.11% |
| Mar 31, 2024 | -37.46% |
| Dec 31, 2023 | -34.74% |
| Sep 30, 2023 | -57.14% |
| Jun 30, 2023 | -54.62% |
| Mar 31, 2023 | -50.48% |
| Dec 31, 2022 | -51.48% |
| Sep 30, 2022 | -31.51% |
| Jun 30, 2022 | -32.49% |
| Mar 31, 2022 | -29.03% |
| Dec 31, 2021 | -24.41% |
| Sep 30, 2021 | -43.92% |
API Access
Erasca Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();