Erasca (ERAS) Capital Expenditures (2020 - 2026)
Erasca (ERAS) recorded Capital Expenditures of $8,000 in Q2 2026, down 73.3% from $30,000 a year earlier and down 77.8% from the prior quarter.
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Analysis
Erasca (ERAS) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, Erasca's Capital Expenditures came in at $59,000 as of Jun 30, 2026, down 50.0% year-over-year; for FY2025, it was $128,000, up 113.3% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -33.0% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $60,000 in FY2024 (-96.6%), $1.78 million in FY2023 (-87.8%), $14.55 million in FY2022 (+29.9%) and $11.21 million in FY2021.
- Quarterly Capital Expenditures has ranged from $5,000 in Q3 2024 to $7.34 million in Q1 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in three of the last six quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 687.4% in Q2 2022, against a decline of 97.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $36,000 (Q1 2026), $9,000 (Q4 2025) and $6,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.24 Bn | 1,099.82 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 614.68 Bn | 533.21 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 503.28 Bn | 476.39 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 368.01 Bn | 322.38 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 298.43 Bn | 262.42 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 236.03 Bn | 191.43 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 190.92 Bn | 165.12 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Erasca | 4.58 Bn | 3.50 Bn | - | 8,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8,000.00 |
| Mar 31, 2026 | 36,000.00 |
| Dec 31, 2025 | 9,000.00 |
| Sep 30, 2025 | 6,000.00 |
| Jun 30, 2025 | 30,000.00 |
| Mar 31, 2025 | 83,000.00 |
| Sep 30, 2024 | 5,000.00 |
| Jun 30, 2024 | 13,000.00 |
| Mar 31, 2024 | 42,000.00 |
| Dec 31, 2023 | 82,000.00 |
| Sep 30, 2023 | 240,000.00 |
| Jun 30, 2023 | 247,000.00 |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 864,000.00 |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 4.56 Mn |
| Mar 31, 2022 | 7.34 Mn |
| Dec 31, 2021 | 5.83 Mn |
| Sep 30, 2021 | 4.67 Mn |
| Jun 30, 2021 | 579,000.00 |
API Access
Erasca Capital Expenditures 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=capital-expenditures&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();