Precision Biosciences (DTIL) Current Assets (2018 - 2026)
Precision Biosciences (DTIL) posted Current Assets of $91.55 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 30.3% from $70.26 million a year earlier but down 15.8% from the prior quarter.
Precision Biosciences (DTIL) Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Current Assets came in at $118.74 million, up 25.0% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior fiscal years, Precision Biosciences' Current Assets was $94.99 million in FY2024 (-30.3%), $136.36 million in FY2023 (-31.5%), $199.11 million in FY2022 (+23.1%) and $161.75 million in FY2021 (+53.2%).
- Quarterly Current Assets has run from a low of $51.71 million in fiscal Q3 2025 to a high of $247.69 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Current Assets has increased in each of the last three quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was fiscal Q4 2021, with growth of 53.2%; the weakest was fiscal Q3 2025, with a decline of 53.2%.
- According to Business Quant data, Current Assets for the three prior fiscal quarters was $108.69 million (Q1 2026), $118.74 million (Q4 2025) and $51.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.97 Bn | 1,135.56 Bn | 19.71 Bn | 64.67 Bn |
| 2 | Johnson & Johnson | 644.38 Bn | 564.24 Bn | 17.30 Bn | 56.35 Bn |
| 3 | AbbVie | 501.54 Bn | 474.65 Bn | 12.70 Bn | 33.67 Bn |
| 4 | Merck | 359.36 Bn | 313.74 Bn | 12.21 Bn | 36.68 Bn |
| 5 | Novartis Ag | 302.13 Bn | 266.12 Bn | 11.24 Bn | 27.35 Bn |
| 6 | Astrazeneca | 267.59 Bn | 241.28 Bn | 12.86 Bn | 27.97 Bn |
| 7 | Amgen | 241.49 Bn | 196.89 Bn | 7.24 Bn | 34.96 Bn |
| 8 | Gilead Sciences | 192.85 Bn | 167.05 Bn | 6.22 Bn | 13.95 Bn |
| 9 | Pfizer | 171.77 Bn | 118.41 Bn | 10.94 Bn | 41.36 Bn |
| 10 | Precision Biosciences | 173.76 Mn | -175.43 Mn | - | 91.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.55 Mn |
| Mar 31, 2026 | 108.69 Mn |
| Dec 31, 2025 | 118.74 Mn |
| Sep 30, 2025 | 51.71 Mn |
| Jun 30, 2025 | 70.26 Mn |
| Mar 31, 2025 | 82.10 Mn |
| Dec 31, 2024 | 94.99 Mn |
| Sep 30, 2024 | 110.52 Mn |
| Jun 30, 2024 | 144.04 Mn |
| Mar 31, 2024 | 160.83 Mn |
| Dec 31, 2023 | 136.36 Mn |
| Sep 30, 2023 | 145.85 Mn |
| Jun 30, 2023 | 147.86 Mn |
| Mar 31, 2023 | 169.02 Mn |
| Dec 31, 2022 | 199.11 Mn |
| Sep 30, 2022 | 225.37 Mn |
| Jun 30, 2022 | 247.69 Mn |
| Mar 31, 2022 | 134.05 Mn |
| Dec 31, 2021 | 161.75 Mn |
| Sep 30, 2021 | 183.05 Mn |
Precision Biosciences 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=current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();