Precision Biosciences (DTIL) Market Capitalization (2019 - 2026)
Precision Biosciences' Market Capitalization was $174.61 million in fiscal Q3 2026 (quarter ended Sep 30, 2026), up 161.8% from $66.7 million a year earlier but down 16.0% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Market Capitalization (2019 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Market Capitalization at Precision Biosciences came in at $53.36 million, up 105.0% from FY2024.
- Market Capitalization shows a five-year compound annual growth rate of -66.8% (FY2020 to FY2025).
- In earlier fiscal years, Market Capitalization was $26.03 million in FY2024 (-38.1%), $42.06 million in FY2023 (-98.7%), $3.14 billion in FY2022 (-76.8%) and $13.52 billion in FY2021 (+2.6%).
- Quarterly Market Capitalization has moved between $26.03 million (fiscal Q4 2024) and $13.52 billion (fiscal Q4 2021) over five years.
- Compared with a year earlier, Market Capitalization has increased for four straight quarters, with growth averaging 84.9% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q2 2026 (growth of 325.1%); the worst was fiscal Q4 2023 (a decline of 98.7%).
- Per Business Quant data, DTIL's Market Capitalization in the three fiscal quarters before Q3 2026 was $207.77 million (Q2 2026), $141.93 million (Q1 2026) and $53.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 174.61 Mn |
| Jun 30, 2026 | 207.77 Mn |
| Mar 31, 2026 | 141.93 Mn |
| Dec 31, 2025 | 53.36 Mn |
| Sep 30, 2025 | 66.70 Mn |
| Jun 30, 2025 | 48.88 Mn |
| Mar 31, 2025 | 50.32 Mn |
| Dec 31, 2024 | 26.03 Mn |
| Sep 30, 2024 | 67.03 Mn |
| Jun 30, 2024 | 69.31 Mn |
| Mar 31, 2024 | 68.63 Mn |
| Dec 31, 2023 | 42.06 Mn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Mar 31, 2023 | 2.54 Bn |
| Dec 31, 2022 | 3.14 Bn |
| Sep 30, 2022 | 4.33 Bn |
| Jun 30, 2022 | 3.26 Bn |
| Mar 31, 2022 | 5.71 Bn |
| Dec 31, 2021 | 13.52 Bn |
API Access
Precision Biosciences Market Capitalization 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=market-capitalization&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();