Erasca (ERAS) Assets (2020 - 2026)
Erasca (ERAS) recorded Assets of $435.05 million in Q2 2026, down 2.3% from $445.39 million a year earlier and down 5.7% from the prior quarter.
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Analysis
Erasca (ERAS) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Erasca reported Assets of $396.15 million, down 21.2% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Across earlier years, Assets came in at $502.53 million in FY2024 (+27.1%), $395.3 million in FY2023 (-23.2%), $514.91 million in FY2022 (+2.7%) and $501.42 million in FY2021 (+301.7%).
- Quarterly Assets has ranged from $370.02 million in Q1 2024 to $528.9 million in Q3 2024 over the past five years.
- On a year-over-year basis, Assets has declined for five consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 301.7% in Q4 2021, against a decline of 23.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $461.23 million (Q1 2026), $396.15 million (Q4 2025) and $420.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Erasca | 4.42 Bn | 4.42 Bn | - | 435.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435.05 Mn |
| Mar 31, 2026 | 461.23 Mn |
| Dec 31, 2025 | 396.15 Mn |
| Sep 30, 2025 | 420.40 Mn |
| Jun 30, 2025 | 445.39 Mn |
| Mar 31, 2025 | 471.24 Mn |
| Dec 31, 2024 | 502.53 Mn |
| Sep 30, 2024 | 528.90 Mn |
| Jun 30, 2024 | 525.74 Mn |
| Mar 31, 2024 | 370.02 Mn |
| Dec 31, 2023 | 395.30 Mn |
| Sep 30, 2023 | 419.41 Mn |
| Jun 30, 2023 | 440.66 Mn |
| Mar 31, 2023 | 467.54 Mn |
| Dec 31, 2022 | 514.91 Mn |
| Sep 30, 2022 | 446.43 Mn |
| Jun 30, 2022 | 444.82 Mn |
| Mar 31, 2022 | 475.47 Mn |
| Dec 31, 2021 | 501.42 Mn |
| Sep 30, 2021 | 521.95 Mn |
API Access
Erasca Assets 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=assets&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();