Precision Biosciences (DTIL) Property, Plant & Equipment (Net) (2018 - 2026)
Precision Biosciences' Property, Plant & Equipment (Net) came in at $964,000 for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 59.1% from $2.36 million a year earlier and down 18.5% from the prior quarter.
Precision Biosciences (DTIL) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Property, Plant & Equipment (Net) was $1.43 million, down 53.9% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -47.3% (FY2020 to FY2025).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $3.09 million in FY2024 (-51.3%), $6.34 million in FY2023 (-46.4%), $11.82 million in FY2022 (-53.0%) and $25.15 million in FY2021 (-28.3%).
- The fiscal Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2018.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 24 consecutive quarters, with an average decline of 52.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Property, Plant & Equipment (Net) ranged from 13.6% (fiscal Q3 2021) to 76.8% (fiscal Q2 2024).
- Business Quant data shows DTIL's Property, Plant & Equipment (Net) at $1.18 million (Q1 2026), $1.43 million (Q4 2025) and $2.03 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Precision Biosciences | 166.80 Mn | -182.39 Mn | - | 964,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 964,000.00 |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.43 Mn |
| Sep 30, 2025 | 2.03 Mn |
| Jun 30, 2025 | 2.36 Mn |
| Mar 31, 2025 | 2.72 Mn |
| Dec 31, 2024 | 3.09 Mn |
| Sep 30, 2024 | 3.56 Mn |
| Jun 30, 2024 | 4.23 Mn |
| Mar 31, 2024 | 5.29 Mn |
| Dec 31, 2023 | 6.34 Mn |
| Sep 30, 2023 | 8.74 Mn |
| Jun 30, 2023 | 18.25 Mn |
| Mar 31, 2023 | 18.59 Mn |
| Dec 31, 2022 | 11.82 Mn |
| Sep 30, 2022 | 21.79 Mn |
| Jun 30, 2022 | 23.05 Mn |
| Mar 31, 2022 | 23.87 Mn |
| Dec 31, 2021 | 25.15 Mn |
| Sep 30, 2021 | 31.54 Mn |
Precision Biosciences Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();