Precision Biosciences (DTIL) Current Assets (2018 - 2026)
Precision Biosciences (DTIL) posted Current Assets of $86.58 million for fiscal Q3 2026 (quarter ended Sep 30, 2026), up 67.4% from $51.71 million a year earlier but down 5.4% 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 four quarters, with an average decline of 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was fiscal Q3 2026, with growth of 67.4%; 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 $91.55 million (Q2 2026), $108.69 million (Q1 2026) and $118.74 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 65.26 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 56.35 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 37.48 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 38.94 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 31.45 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 34.36 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 16.55 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 45.01 Bn |
| 10 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - | 86.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.58 Mn |
| 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 |
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();