Erasca (ERAS) Other Operating Expenses (2020 - 2026)
Erasca's Other Operating Expenses came in at $150 million for Q1 2026.
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Analysis
Erasca (ERAS) Other Operating Expenses (2020 - 2026) Analysis & Trends
For FY2025, Erasca's Other Operating Expenses was $9.5 million, down 57.8% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -33.3% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $22.5 million in FY2024, $102 million in FY2022 (+259.9%) and $28.35 million in FY2021 (-60.5%).
- The Q1 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q3 2020.
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 |
|---|---|
| Mar 31, 2026 | 150.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 7.50 Mn |
| Jun 30, 2024 | 22.50 Mn |
| Dec 31, 2022 | 100.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Sep 30, 2021 | 19.18 Mn |
| Jun 30, 2021 | 5.49 Mn |
| Mar 31, 2021 | 3.68 Mn |
| Dec 31, 2020 | 54.00 Mn |
| Sep 30, 2020 | 75,000.00 |
API Access
Erasca Other Operating 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=other-operating-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();