Precision Biosciences (DTIL) Price to Book (2019 - 2026)
Precision Biosciences' (DTIL) Price to Book was 4.59 for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 219.6% from 1.44 a year earlier and up 146.0% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Price to Book (2019 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Price to Book at Precision Biosciences was 0.58, up 25.3% from FY2024.
- By fiscal year, Price to Book came in at 0.46 in FY2024 (-79.3%), 2.23 in FY2023 (-95.7%), 51.92 in FY2022 (-65.0%) and 148.30 in FY2021 (-50.0%).
- The fiscal Q2 2026 figure ranks as the highest quarterly Price to Book since fiscal Q3 2023.
- Year over year, Price to Book has now increased in each of the last five quarters, with growth averaging 56.1% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was fiscal Q3 2025 (growth of 288.0%); the low point was fiscal Q2 2024 (a decline of 98.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at 1.87 (Q1 2026), 0.58 (Q4 2025) and 4.01 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Precision Biosciences | 166.80 Mn | -182.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.59 |
| Mar 31, 2026 | 1.87 |
| Dec 31, 2025 | 0.58 |
| Sep 30, 2025 | 4.01 |
| Jun 30, 2025 | 1.44 |
| Mar 31, 2025 | 1.02 |
| Dec 31, 2024 | 0.46 |
| Sep 30, 2024 | 1.03 |
| Jun 30, 2024 | 0.93 |
| Mar 31, 2024 | 1.84 |
| Dec 31, 2023 | 2.23 |
| Sep 30, 2023 | 40.72 |
| Jun 30, 2023 | 53.34 |
| Mar 31, 2023 | 63.25 |
| Dec 31, 2022 | 51.92 |
| Sep 30, 2022 | 51.27 |
| Jun 30, 2022 | 31.66 |
| Mar 31, 2022 | 81.94 |
| Dec 31, 2021 | 148.30 |
| Sep 30, 2021 | 205.04 |
API Access
Precision Biosciences Price to Book 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=price-to-book&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();