Erasca (ERAS) Shares Outstanding (2020 - 2026)
Erasca's Shares Outstanding was 311.34 million in Q2 2026, up 9.9% from 283.36 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Erasca (ERAS) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Erasca came in at 283.53 million, up 21.3% from FY2024.
- Shares Outstanding has now increased for five consecutive years, with a five-year compound annual growth rate of 68.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 233.82 million in FY2024 (+55.7%), 150.18 million in FY2023 (+23.1%), 122.02 million in FY2022 (+84.1%) and 66.29 million in FY2021 (+215.1%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q2 2020.
- Compared with a year earlier, Shares Outstanding has increased for 21 straight quarters, with growth averaging 37.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.5% (Q3 2025) and 437.4% (Q1 2022) over the last five years.
- Per Business Quant data, ERAS's Shares Outstanding in the three quarters before Q2 2026 was 304.32 million (Q1 2026), 283.53 million (Q4 2025) and 283.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.70 Mn |
| 10 | Erasca | 4.58 Bn | 4.58 Bn | - | 311.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.34 Mn |
| Mar 31, 2026 | 304.32 Mn |
| Dec 31, 2025 | 283.53 Mn |
| Sep 30, 2025 | 283.68 Mn |
| Jun 30, 2025 | 283.36 Mn |
| Mar 31, 2025 | 283.26 Mn |
| Dec 31, 2024 | 233.82 Mn |
| Sep 30, 2024 | 282.38 Mn |
| Jun 30, 2024 | 217.81 Mn |
| Mar 31, 2024 | 151.16 Mn |
| Dec 31, 2023 | 150.18 Mn |
| Sep 30, 2023 | 150.45 Mn |
| Jun 30, 2023 | 150.04 Mn |
| Mar 31, 2023 | 149.50 Mn |
| Dec 31, 2022 | 122.02 Mn |
| Sep 30, 2022 | 120.80 Mn |
| Jun 30, 2022 | 120.19 Mn |
| Mar 31, 2022 | 119.49 Mn |
| Dec 31, 2021 | 66.29 Mn |
| Sep 30, 2021 | 99.13 Mn |
API Access
Erasca Shares Outstanding 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=shares-outstanding&ticker=ERAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ERAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();