Erasca (ERAS) Total Non-Current Liabilities (2021 - 2026)
Erasca's Total Non-Current Liabilities was $72.84 million in Q2 2026, unchanged from $72.87 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Erasca (ERAS) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Erasca came in at $70.58 million, down 10.3% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 12.1% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $78.67 million in FY2024 (+0.8%), $78.05 million in FY2023 (-23.8%), $102.48 million in FY2022 (+129.1%) and $44.73 million in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $44.73 million (Q4 2021) and $102.48 million (Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 4.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 129.1%); the worst was Q4 2023 (a decline of 23.8%).
- Per Business Quant data, ERAS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $67.37 million (Q1 2026), $70.58 million (Q4 2025) and $72.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Erasca | 4.82 Bn | 3.74 Bn | - | 72.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.84 Mn |
| Mar 31, 2026 | 67.37 Mn |
| Dec 31, 2025 | 70.58 Mn |
| Sep 30, 2025 | 72.12 Mn |
| Jun 30, 2025 | 72.87 Mn |
| Mar 31, 2025 | 71.49 Mn |
| Dec 31, 2024 | 78.67 Mn |
| Sep 30, 2024 | 78.51 Mn |
| Jun 30, 2024 | 74.58 Mn |
| Mar 31, 2024 | 81.05 Mn |
| Dec 31, 2023 | 78.05 Mn |
| Sep 30, 2023 | 79.67 Mn |
| Jun 30, 2023 | 77.26 Mn |
| Mar 31, 2023 | 80.46 Mn |
| Dec 31, 2022 | 102.48 Mn |
| Dec 31, 2021 | 44.73 Mn |
API Access
Erasca Total Non-Current 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-non-current-liabilities&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();