Erasca (ERAS) EPS (Diluted) (2021 - 2026)
Erasca (ERAS) reported EPS (Diluted) of -$0.14 for Q2 2026, compared with -$0.12 a year earlier.
Powered by 
Analysis
Erasca (ERAS) EPS (Diluted) (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Erasca's EPS (Diluted) came in at -$0.92; for FY2025, it came in at -$0.44.
- By year, EPS (Diluted) came in at -$0.69 in FY2024, -$0.83 in FY2023, -$1.99 in FY2022 and -$1.85 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$1.11 in Q4 2022 and a high of -$0.10 in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.60 (Q1 2026), -$0.10 (Q4 2025) and -$0.11 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | -0.04 |
| 10 | Erasca | 4.55 Bn | 3.47 Bn | - | -0.14 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.14 |
| Mar 31, 2026 | -0.60 |
| Dec 31, 2025 | -0.10 |
| Sep 30, 2025 | -0.11 |
| Jun 30, 2025 | -0.12 |
| Mar 31, 2025 | -0.11 |
| Dec 31, 2024 | -0.14 |
| Sep 30, 2024 | -0.11 |
| Jun 30, 2024 | -0.29 |
| Mar 31, 2024 | -0.23 |
| Dec 31, 2023 | -0.20 |
| Sep 30, 2023 | -0.20 |
| Jun 30, 2023 | -0.21 |
| Mar 31, 2023 | -0.22 |
| Dec 31, 2022 | -1.11 |
| Sep 30, 2022 | -0.29 |
| Jun 30, 2022 | -0.30 |
| Mar 31, 2022 | -0.31 |
| Dec 31, 2021 | -0.46 |
| Sep 30, 2021 | -0.46 |
API Access
Erasca EPS (Diluted) 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=eps-diluted&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();