Erasca (ERAS) Accumulated Depreciation (2020 - 2026)
Erasca's Accumulated Depreciation came in at $14.03 million for Q2 2026, up 22.4% from $11.46 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Erasca (ERAS) Accumulated Depreciation (2020 - 2026) Analysis & Trends
At the end of FY2025, Erasca's Accumulated Depreciation was $12.66 million, up 26.5% from FY2024.
- Accumulated Depreciation has increased in each of the last five years, with a five-year compound annual growth rate of 69.6% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $10.01 million in FY2024 (+38.4%), $7.23 million in FY2023 (+106.6%), $3.5 million in FY2022 (+102.7%) and $1.73 million in FY2021 (+91.5%).
- The Q2 2026 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2020.
- Year-over-year, Accumulated Depreciation has increased for 17 consecutive quarters, with growth averaging 31.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Depreciation ranged from 22.4% (Q2 2026) to 197.8% (Q2 2023).
- Business Quant data shows ERAS's Accumulated Depreciation at $13.31 million (Q1 2026), $12.66 million (Q4 2025) and $11.92 million (Q3 2025) in the three quarters before Q2 2026.
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 |
|---|---|
| Jun 30, 2026 | 14.03 Mn |
| Mar 31, 2026 | 13.31 Mn |
| Dec 31, 2025 | 12.66 Mn |
| Sep 30, 2025 | 11.92 Mn |
| Jun 30, 2025 | 11.46 Mn |
| Mar 31, 2025 | 10.82 Mn |
| Dec 31, 2024 | 10.01 Mn |
| Sep 30, 2024 | 9.19 Mn |
| Jun 30, 2024 | 8.35 Mn |
| Mar 31, 2024 | 8.23 Mn |
| Dec 31, 2023 | 7.23 Mn |
| Sep 30, 2023 | 6.29 Mn |
| Jun 30, 2023 | 5.35 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 3.50 Mn |
| Sep 30, 2022 | 2.57 Mn |
| Jun 30, 2022 | 1.80 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 1.73 Mn |
| Sep 30, 2021 | 1.41 Mn |
API Access
Erasca Accumulated Depreciation 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=accumulated-depreciation&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();