Precision Biosciences (DTIL) Other Non-Current Assets (2018 - 2026)
Precision Biosciences (DTIL) recorded Other Non-Current Assets of $26.33 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 16.7% from $22.56 million a year earlier but down 0.6% from the prior quarter.
Precision Biosciences (DTIL) Other Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences reported Other Non-Current Assets of $206,000, down 99.1% from FY2024.
- Annual Other Non-Current Assets has a five-year compound annual growth rate of -34.6% (FY2020 to FY2025).
- Across earlier fiscal years, Other Non-Current Assets came in at $22.57 million in FY2024, $225,000 in FY2023 (-98.2%), $12.35 million in FY2022 (+166.0%) and $4.64 million in FY2021 (+169.7%).
- Quarterly Other Non-Current Assets has ranged from $206,000 in fiscal Q4 2025 to $26.48 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Other Non-Current Assets rose in three of the last four quarters, with an average decline of 12.1%.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 400.4% in fiscal Q2 2022, against a decline of 99.1% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $26.48 million (Q1 2026), $206,000 (Q4 2025) and $26.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.48 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 15.10 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.73 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 19.60 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 5.93 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 12.98 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 4.75 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 9.94 Bn |
| 10 | Precision Biosciences | 174.27 Mn | -174.91 Mn | - | 26.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.46 Mn |
| Mar 31, 2026 | 26.68 Mn |
| Dec 31, 2025 | 206,000.00 |
| Sep 30, 2025 | 26.54 Mn |
| Jun 30, 2025 | 22.56 Mn |
| Mar 31, 2025 | 22.57 Mn |
| Dec 31, 2024 | 22.79 Mn |
| Sep 30, 2024 | 22.58 Mn |
| Mar 31, 2024 | 238,000.00 |
| Dec 31, 2023 | 225,000.00 |
| Sep 30, 2023 | 234,000.00 |
| Jun 30, 2023 | 619,000.00 |
| Mar 31, 2023 | 2.75 Mn |
| Dec 31, 2022 | 12.57 Mn |
| Sep 30, 2022 | 9.52 Mn |
| Jun 30, 2022 | 9.33 Mn |
| Mar 31, 2022 | 4.66 Mn |
| Dec 31, 2021 | 4.64 Mn |
| Sep 30, 2021 | 4.22 Mn |
| Jun 30, 2021 | 1.87 Mn |
Precision Biosciences Other Non-Current Assets 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=other-non-current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();