Erasca (ERAS) Other Accumulated Expenses (2020 - 2026)
Erasca (ERAS) posted Other Accumulated Expenses of $16.73 million for Q2 2026, up 16.5% from $14.37 million a year earlier and up 37.8% from the prior quarter.
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Analysis
Erasca (ERAS) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Erasca's Other Accumulated Expenses came in at $10.05 million, down 32.5% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Erasca's Other Accumulated Expenses was $14.87 million in FY2024 (+68.9%), $8.8 million in FY2023 (-23.6%), $11.52 million in FY2022 (+28.5%) and $8.96 million in FY2021 (+34.8%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2020.
- On a year-over-year basis, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 17.6%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2022, with growth of 74.9%; the weakest was Q4 2025, with a decline of 32.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $12.15 million (Q1 2026), $10.05 million (Q4 2025) and $11.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Erasca | 4.84 Bn | 3.76 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.73 Mn |
| Mar 31, 2026 | 12.15 Mn |
| Dec 31, 2025 | 10.05 Mn |
| Sep 30, 2025 | 11.16 Mn |
| Jun 30, 2025 | 14.37 Mn |
| Mar 31, 2025 | 11.87 Mn |
| Dec 31, 2024 | 14.87 Mn |
| Sep 30, 2024 | 14.23 Mn |
| Jun 30, 2024 | 11.04 Mn |
| Mar 31, 2024 | 9.25 Mn |
| Dec 31, 2023 | 8.80 Mn |
| Sep 30, 2023 | 9.56 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 11.49 Mn |
| Dec 31, 2022 | 11.52 Mn |
| Sep 30, 2022 | 11.62 Mn |
| Jun 30, 2022 | 10.76 Mn |
| Mar 31, 2022 | 8.50 Mn |
| Dec 31, 2021 | 8.96 Mn |
| Sep 30, 2021 | 6.65 Mn |
API Access
Erasca Other 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=other-accumulated-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();