Precision Biosciences (DTIL) Shares Outstanding (2018 - 2026)
Precision Biosciences' Weighted Average Shares Outstanding came in at 27.43 million for fiscal Q3 2026 (quarter ended Sep 30, 2026), up 132.1% from 11.82 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences' Weighted Average Shares Outstanding was 12.83 million, up 87.7% from FY2024.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of -24.4% (FY2020 to FY2025).
- Going back by fiscal year, Weighted Average Shares Outstanding was 6.83 million in FY2024 (+77.9%), 3.84 million in FY2023 (-95.6%), 87.9 million in FY2022 (+49.8%) and 58.69 million in FY2021 (+12.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding since fiscal Q3 2023.
- Year-over-year, Weighted Average Shares Outstanding has increased for eight consecutive quarters, with growth averaging 100.2% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding 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 Weighted Average Shares Outstanding at 25.86 million (Q2 2026), 24.63 million (Q1 2026) and 12.83 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - | 27.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.43 Mn |
| 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 | 6.83 Mn |
| Sep 30, 2024 | 7.29 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 5.06 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 115.17 Mn |
| Jun 30, 2023 | 114.10 Mn |
| Mar 31, 2023 | 111.30 Mn |
| Dec 31, 2022 | 87.90 Mn |
| Sep 30, 2022 | 110.85 Mn |
| Jun 30, 2022 | 67.95 Mn |
| Mar 31, 2022 | 61.03 Mn |
| Dec 31, 2021 | 58.69 Mn |
API Access
Precision Biosciences 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=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();