Precision Biosciences (DTIL) Other Non-Current Liabilities (2018 - 2026)
Precision Biosciences' Other Non-Current Liabilities was $36.69 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 266.9% from $10 million a year earlier and up 60.9% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Other Non-Current Liabilities at Precision Biosciences came in at $15.7 million, up 57.0% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 109.2% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $10 million in FY2024 (unchanged), $10 million in FY2023 (unchanged), $10 million in FY2022 (unchanged) and $10 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2018.
- Compared with a year earlier, Other Non-Current Liabilities has increased for three straight quarters, with growth averaging 46.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2026 (growth of 266.9%); the worst was fiscal Q1 2025 (a decline of 54.6%).
- Per Business Quant data, DTIL's Other Non-Current Liabilities in the three fiscal quarters before Q2 2026 was $22.8 million (Q1 2026), $15.7 million (Q4 2025) and $10 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Precision Biosciences | 174.27 Mn | -174.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 10.48 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();