Precision Biosciences (DTIL) Other Non-Current Liabilities (2018 - 2026)
Precision Biosciences' Other Liabilities was $34.27 million in fiscal Q3 2026 (quarter ended Sep 30, 2026), up 140.4% from $14.25 million a year earlier but down 27.1% from the prior quarter.
Powered by 
Analysis
Precision Biosciences (DTIL) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Other Liabilities at Precision Biosciences came in at $25.95 million, up 99.8% from FY2024.
- Other Liabilities shows a five-year compound annual growth rate of 131.3% (FY2020 to FY2025).
- In earlier fiscal years, Other Liabilities was $12.99 million in FY2024 (+28.3%), $10.13 million in FY2023 (-0.7%), $10.2 million in FY2022 (+1.6%) and $10.04 million in FY2021.
- Quarterly Other Liabilities has moved between $10 million (fiscal Q2 2023) and $46.99 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Liabilities has increased for four straight quarters, with growth averaging 66.8% over the last eight quarters.
- The best year-over-year quarter for Other Liabilities over five years was fiscal Q2 2026 (growth of 260.2%); the worst was fiscal Q1 2025 (a decline of 56.9%).
- Per Business Quant data, DTIL's Other Liabilities in the three fiscal quarters before Q3 2026 was $46.99 million (Q2 2026), $33.13 million (Q1 2026) and $25.95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.27 Mn |
| Jun 30, 2026 | 46.99 Mn |
| Mar 31, 2026 | 33.13 Mn |
| Dec 31, 2025 | 25.95 Mn |
| Sep 30, 2025 | 14.25 Mn |
| Jun 30, 2025 | 13.05 Mn |
| Mar 31, 2025 | 13.80 Mn |
| Dec 31, 2024 | 12.99 Mn |
| Sep 30, 2024 | 20.80 Mn |
| Jun 30, 2024 | 24.26 Mn |
| Mar 31, 2024 | 32.02 Mn |
| Dec 31, 2023 | 10.13 Mn |
| Sep 30, 2023 | 10.77 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 10.20 Mn |
| Dec 31, 2022 | 10.20 Mn |
| Sep 30, 2022 | 10.22 Mn |
| Jun 30, 2022 | 10.23 Mn |
| Mar 31, 2022 | 10.03 Mn |
| Dec 31, 2021 | 10.04 Mn |
API Access
Precision Biosciences Other Non-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=other-non-current-liabilities&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();