Precision Biosciences (DTIL) Total Current Liabilities (2018 - 2026)
Precision Biosciences (DTIL) reported Total Current Liabilities of $8.27 million for fiscal Q3 2026 (quarter ended Sep 30, 2026), down 44.9% from $15 million a year earlier but up 15.8% from the prior quarter.
Precision Biosciences (DTIL) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences posted Total Current Liabilities of $8.91 million, down 40.5% from FY2024.
- Total Current Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -26.9% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $14.98 million in FY2024 (-70.0%), $49.99 million in FY2023 (-16.2%), $59.66 million in FY2022 (+65.8%) and $35.98 million in FY2021 (-16.0%).
- Five-year quarterly Total Current Liabilities spans a low of $7.14 million in fiscal Q2 2026 and a high of $61.15 million in fiscal Q3 2022.
- Year over year, Total Current Liabilities has now declined in each of the last four quarters, with an average decline of 42.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2022 (growth of 67.6%); the low point was fiscal Q3 2024 (a decline of 76.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.14 million (Q2 2026), $7.76 million (Q1 2026) and $8.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - | 8.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.27 Mn |
| Jun 30, 2026 | 7.14 Mn |
| Mar 31, 2026 | 7.76 Mn |
| Dec 31, 2025 | 8.91 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 13.57 Mn |
| Mar 31, 2025 | 12.39 Mn |
| Dec 31, 2024 | 14.98 Mn |
| Sep 30, 2024 | 11.98 Mn |
| Jun 30, 2024 | 32.96 Mn |
| Mar 31, 2024 | 33.34 Mn |
| Dec 31, 2023 | 49.99 Mn |
| Sep 30, 2023 | 50.62 Mn |
| Jun 30, 2023 | 56.40 Mn |
| Mar 31, 2023 | 46.86 Mn |
| Dec 31, 2022 | 59.66 Mn |
| Sep 30, 2022 | 61.15 Mn |
| Jun 30, 2022 | 53.92 Mn |
| Mar 31, 2022 | 29.11 Mn |
| Dec 31, 2021 | 35.98 Mn |
Precision Biosciences Total Current Liabilities 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=total-current-liabilities&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();