Erasca (ERAS) Return on Capital Employed [ROCE] (2021 - 2026)
Erasca (ERAS) posted Return on Capital Employed [ROCE] of -73.01% for Q2 2026, down 38.90 percentage points from -34.11% a year earlier and down 0.08 percentage points from the prior quarter.
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Analysis
Erasca (ERAS) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Erasca's Return on Capital Employed [ROCE] came in at -33.48%, up 9.53 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of +10.05 percentage points (FY2021 to FY2025).
- In prior years, Erasca's Return on Capital Employed [ROCE] was -43.01% in FY2024 (-10.02 pp), -32.99% in FY2023 (+20.86 pp), -53.86% in FY2022 (-10.33 pp) and -43.53% in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last three quarters, with an average year-over-year change of -4.82 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2024, with a gain of 25.19 percentage points; the weakest was Q2 2026, with a drop of 38.90 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -72.93% (Q1 2026), -37.10% (Q4 2025) and -35.63% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Erasca | 4.61 Bn | 4.61 Bn | - | -73.01% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -73.01% |
| Mar 31, 2026 | -72.93% |
| Dec 31, 2025 | -37.10% |
| Sep 30, 2025 | -35.63% |
| Jun 30, 2025 | -34.11% |
| Mar 31, 2025 | -38.22% |
| Dec 31, 2024 | -37.08% |
| Sep 30, 2024 | -35.74% |
| Jun 30, 2024 | -41.41% |
| Mar 31, 2024 | -40.68% |
| Dec 31, 2023 | -37.13% |
| Sep 30, 2023 | -60.93% |
| Jun 30, 2023 | -57.57% |
| Mar 31, 2023 | -53.25% |
| Dec 31, 2022 | -57.28% |
| Sep 30, 2022 | -33.60% |
| Jun 30, 2022 | -34.15% |
| Mar 31, 2022 | -30.36% |
| Dec 31, 2021 | -25.72% |
| Sep 30, 2021 | -46.40% |
API Access
Erasca Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();