Erasca (ERAS) Research & Development (2020 - 2026)
Erasca's Research & Development was $35.9 million in Q2 2026, up 69.6% from $21.17 million a year earlier and up 31.7% from the prior quarter.
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Analysis
Erasca (ERAS) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Erasca's Research & Development was $108.88 million through Jun 30, 2026, up 7.9% year-over-year; for FY2025, it was $92.85 million, down 19.5% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $115.36 million in FY2024 (+11.1%), $103.82 million in FY2023 (-7.7%), $112.46 million in FY2022 (+52.1%) and $73.92 million in FY2021 (+150.2%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q2 2020.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with growth averaging 1.8%.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 139.7%); the worst was Q2 2025 (a decline of 35.9%).
- Per Business Quant data, ERAS's Research & Development in the three quarters before Q2 2026 was $27.27 million (Q1 2026), $23.24 million (Q4 2025) and $22.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Erasca | 4.42 Bn | 4.42 Bn | - | 35.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.90 Mn |
| Mar 31, 2026 | 27.27 Mn |
| Dec 31, 2025 | 23.24 Mn |
| Sep 30, 2025 | 22.47 Mn |
| Jun 30, 2025 | 21.17 Mn |
| Mar 31, 2025 | 25.97 Mn |
| Dec 31, 2024 | 26.12 Mn |
| Sep 30, 2024 | 27.63 Mn |
| Jun 30, 2024 | 33.03 Mn |
| Mar 31, 2024 | 28.57 Mn |
| Dec 31, 2023 | 24.81 Mn |
| Sep 30, 2023 | 25.21 Mn |
| Jun 30, 2023 | 26.22 Mn |
| Mar 31, 2023 | 27.59 Mn |
| Dec 31, 2022 | 29.36 Mn |
| Sep 30, 2022 | 28.18 Mn |
| Jun 30, 2022 | 27.49 Mn |
| Mar 31, 2022 | 27.43 Mn |
| Dec 31, 2021 | 24.13 Mn |
| Sep 30, 2021 | 19.95 Mn |
API Access
Erasca Research & Development 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=research-and-development&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();