Editas Medicine (EDIT) Shares Outstanding (Diluted) (2019 - 2025)
Editas Medicine's Shares Outstanding (Diluted) was 90.09 million in Q4 2025, up 9.4% from 82.34 million a year earlier and unchanged from the prior quarter.
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Analysis
Editas Medicine (EDIT) Shares Outstanding (Diluted) (2019 - 2025) Analysis & Trends
From Q3 2019 onward, Editas Medicine has reported Shares Outstanding (Diluted) for 26 quarters.
- Shares Outstanding (Diluted) has now increased for six consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 82.34 million in FY2024 (+8.4%), 75.97 million in FY2023 (+10.6%), 68.66 million in FY2022 (+1.5%) and 67.62 million in FY2021 (+15.4%).
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 22 straight quarters, with growth averaging 8.3% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.6% (Q1 2023) and 35.8% (Q2 2021) over the last five years.
- Per Business Quant data, EDIT's Shares Outstanding (Diluted) in the three quarters before Q4 2025 was 90.09 million (Q3 2025), 84.41 million (Q2 2025) and 83.06 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 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 | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 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 | 255.20 Mn |
| 10 | Editas Medicine | 239.69 Mn | -472.07 Mn | - | 90.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 90.09 Mn |
| Sep 30, 2025 | 90.09 Mn |
| Jun 30, 2025 | 84.41 Mn |
| Mar 31, 2025 | 83.06 Mn |
| Dec 31, 2024 | 82.34 Mn |
| Sep 30, 2024 | 82.49 Mn |
| Jun 30, 2024 | 82.31 Mn |
| Mar 31, 2024 | 81.94 Mn |
| Dec 31, 2023 | 75.97 Mn |
| Sep 30, 2023 | 81.65 Mn |
| Jun 30, 2023 | 71.38 Mn |
| Mar 31, 2023 | 68.92 Mn |
| Dec 31, 2022 | 68.66 Mn |
| Sep 30, 2022 | 68.74 Mn |
| Jun 30, 2022 | 68.64 Mn |
| Mar 31, 2022 | 68.48 Mn |
| Dec 31, 2021 | 67.62 Mn |
| Sep 30, 2021 | 68.22 Mn |
| Jun 30, 2021 | 67.88 Mn |
| Mar 31, 2021 | 65.99 Mn |
API Access
Editas Medicine Shares Outstanding (Diluted) 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-diluted&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EDIT", "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-diluted&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();