Erasca (ERAS) Accumulated Expenses (2020 - 2026)
Erasca's Accumulated Expenses was $26.11 million in Q2 2026, up 19.9% from $21.78 million a year earlier and up 35.6% from the prior quarter.
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Analysis
Erasca (ERAS) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Erasca came in at $22.46 million, down 14.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $26.31 million in FY2024 (+30.3%), $20.19 million in FY2023 (-17.1%), $24.34 million in FY2022 (+14.5%) and $21.26 million in FY2021 (+78.3%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 78.3%); the worst was Q4 2023 (a decline of 17.1%).
- Per Business Quant data, ERAS's Accumulated Expenses in the three quarters before Q2 2026 was $19.25 million (Q1 2026), $22.46 million (Q4 2025) and $20.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Erasca | 4.58 Bn | 4.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.11 Mn |
| Mar 31, 2026 | 19.25 Mn |
| Dec 31, 2025 | 22.46 Mn |
| Sep 30, 2025 | 20.80 Mn |
| Jun 30, 2025 | 21.78 Mn |
| Mar 31, 2025 | 18.42 Mn |
| Dec 31, 2024 | 26.31 Mn |
| Sep 30, 2024 | 23.17 Mn |
| Jun 30, 2024 | 18.47 Mn |
| Mar 31, 2024 | 16.58 Mn |
| Dec 31, 2023 | 20.19 Mn |
| Sep 30, 2023 | 19.21 Mn |
| Jun 30, 2023 | 16.99 Mn |
| Mar 31, 2023 | 19.05 Mn |
| Dec 31, 2022 | 24.34 Mn |
| Sep 30, 2022 | 22.33 Mn |
| Jun 30, 2022 | 19.83 Mn |
| Mar 31, 2022 | 16.67 Mn |
| Dec 31, 2021 | 21.26 Mn |
| Sep 30, 2021 | 17.40 Mn |
API Access
Erasca Accumulated Expenses 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=accumulated-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();