Erasca (ERAS) Total Liabilities (2020 - 2026)
Erasca (ERAS) reported Total Liabilities of $73.19 million for Q2 2026, up 0.1% from $73.13 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Erasca (ERAS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Erasca posted Total Liabilities of $70.98 million, down 10.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -21.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $79.03 million in FY2024 (+0.5%), $78.61 million in FY2023 (-23.7%), $103.06 million in FY2022 (+129.6%) and $44.89 million in FY2021 (-81.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2024.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 4.9%.
- The high point for year-over-year Total Liabilities in five years was Q4 2022 (growth of 129.6%); the low point was Q2 2022 (a decline of 86.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.71 million (Q1 2026), $70.98 million (Q4 2025) and $72.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Erasca | 4.42 Bn | 4.42 Bn | - | 73.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.19 Mn |
| Mar 31, 2026 | 67.71 Mn |
| Dec 31, 2025 | 70.98 Mn |
| Sep 30, 2025 | 72.52 Mn |
| Jun 30, 2025 | 73.13 Mn |
| Mar 31, 2025 | 71.74 Mn |
| Dec 31, 2024 | 79.03 Mn |
| Sep 30, 2024 | 78.85 Mn |
| Jun 30, 2024 | 74.66 Mn |
| Mar 31, 2024 | 81.61 Mn |
| Dec 31, 2023 | 78.61 Mn |
| Sep 30, 2023 | 80.43 Mn |
| Jun 30, 2023 | 77.96 Mn |
| Mar 31, 2023 | 81.09 Mn |
| Dec 31, 2022 | 103.06 Mn |
| Sep 30, 2022 | 81.11 Mn |
| Jun 30, 2022 | 49.76 Mn |
| Mar 31, 2022 | 50.81 Mn |
| Dec 31, 2021 | 44.89 Mn |
| Sep 30, 2021 | 38.96 Mn |
API Access
Erasca Total Liabilities 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=total-liabilities&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();