Precision Biosciences (DTIL) Shares Outstanding (Diluted) (2020 - 2026)
Precision Biosciences' Shares Outstanding (Diluted) came in at 25.86 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 134.1% from 11.05 million a year earlier and up 5.0% from the prior quarter.
Precision Biosciences (DTIL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences' Shares Outstanding (Diluted) was 12.83 million, up 86.3% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -24.4% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding (Diluted) was 6.88 million in FY2024 (+79.2%), 3.84 million in FY2023 (-95.6%), 87.9 million in FY2022 (+49.8%) and 58.69 million in FY2021 (+13.1%).
- The fiscal Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2022.
- Year-over-year, Shares Outstanding (Diluted) has increased for ten consecutive quarters, with growth averaging 94.7% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2026 (growth of 165.1%), and the weakest in fiscal Q4 2023 (a decline of 95.6%).
- Business Quant data shows DTIL's Shares Outstanding (Diluted) at 24.63 million (Q1 2026), 12.83 million (Q4 2025) and 11.82 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Precision Biosciences | 167.32 Mn | -181.86 Mn | - | 25.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.86 Mn |
| Mar 31, 2026 | 24.63 Mn |
| Dec 31, 2025 | 12.83 Mn |
| Sep 30, 2025 | 11.82 Mn |
| Jun 30, 2025 | 11.05 Mn |
| Mar 31, 2025 | 9.29 Mn |
| Dec 31, 2024 | 6.88 Mn |
| Sep 30, 2024 | 7.29 Mn |
| Jun 30, 2024 | 7.01 Mn |
| Mar 31, 2024 | 5.06 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 3.84 Mn |
| Jun 30, 2023 | 3.80 Mn |
| Mar 31, 2023 | 3.71 Mn |
| Dec 31, 2022 | 87.90 Mn |
| Sep 30, 2022 | 80.13 Mn |
| Jun 30, 2022 | 67.95 Mn |
| Mar 31, 2022 | 61.03 Mn |
| Dec 31, 2021 | 58.69 Mn |
| Sep 30, 2021 | 59.66 Mn |
Precision Biosciences 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=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DTIL", "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=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();