Erasca (ERAS) Non-Current Assets (2020 - 2026)
Erasca (ERAS) reported Non-Current Assets of $156.61 million for Q2 2026, up 16.2% from $134.73 million a year earlier but down 24.5% from the prior quarter.
Erasca (ERAS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Erasca posted Non-Current Assets of $109.92 million, down 43.3% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 86.8% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $193.73 million in FY2024 (+159.6%), $74.62 million in FY2023 (+6.0%), $70.41 million in FY2022 (-13.5%) and $81.4 million in FY2021.
- Five-year quarterly Non-Current Assets spans a low of $29.64 million in Q3 2021 and a high of $207.45 million in Q1 2026.
- Year over year, Non-Current Assets gained in six of the last eight quarters, with growth averaging 46.6%.
- The high point for year-over-year Non-Current Assets in five years was Q2 2022 (growth of 384.3%); the low point was Q4 2025 (a decline of 43.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $207.45 million (Q1 2026), $109.92 million (Q4 2025) and $120.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Erasca | 4.42 Bn | 4.42 Bn | - | 156.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.61 Mn |
| Mar 31, 2026 | 207.45 Mn |
| Dec 31, 2025 | 109.92 Mn |
| Sep 30, 2025 | 120.48 Mn |
| Jun 30, 2025 | 134.73 Mn |
| Mar 31, 2025 | 156.63 Mn |
| Dec 31, 2024 | 193.73 Mn |
| Sep 30, 2024 | 198.72 Mn |
| Jun 30, 2024 | 107.74 Mn |
| Mar 31, 2024 | 63.40 Mn |
| Dec 31, 2023 | 74.62 Mn |
| Sep 30, 2023 | 113.44 Mn |
| Jun 30, 2023 | 116.81 Mn |
| Mar 31, 2023 | 69.66 Mn |
| Dec 31, 2022 | 70.41 Mn |
| Sep 30, 2022 | 80.68 Mn |
| Jun 30, 2022 | 63.40 Mn |
| Mar 31, 2022 | 72.10 Mn |
| Dec 31, 2021 | 81.40 Mn |
| Sep 30, 2021 | 29.64 Mn |
Erasca Non-Current 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=non-current-assets&ticker=ERAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();