Precision Biosciences (DTIL) Total Debt (2019 - 2026)
Precision Biosciences' Total Debt came in at $22.42 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 0.3% from $22.35 million a year earlier and unchanged from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Total Debt (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Total Debt was $22.4 million, up 0.4% from FY2024.
- Going back by fiscal year, Total Debt was $22.32 million in FY2024 (-0.4%) and $22.41 million in FY2023.
- The fiscal Q2 2026 figure represents the highest quarterly Total Debt since fiscal Q2 2024.
- Year-over-year, Total Debt has increased for four consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in fiscal Q2 2024 (growth of 0.8%), and the weakest in fiscal Q2 2025 (a decline of 0.6%).
- Business Quant data shows DTIL's Total Debt at $22.42 million (Q1 2026), $22.4 million (Q4 2025) and $22.37 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 63.19 Bn |
| 10 | Precision Biosciences | 174.27 Mn | -174.91 Mn | - | 22.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.42 Mn |
| Mar 31, 2026 | 22.42 Mn |
| Dec 31, 2025 | 22.40 Mn |
| Sep 30, 2025 | 22.37 Mn |
| Jun 30, 2025 | 22.35 Mn |
| Mar 31, 2025 | 22.34 Mn |
| Dec 31, 2024 | 22.32 Mn |
| Sep 30, 2024 | 22.28 Mn |
| Jun 30, 2024 | 22.49 Mn |
| Mar 31, 2024 | 22.46 Mn |
| Dec 31, 2023 | 22.41 Mn |
| Sep 30, 2023 | 22.37 Mn |
| Jun 30, 2023 | 22.32 Mn |
| Mar 31, 2023 | 22.27 Mn |
| Dec 31, 2022 | 22.22 Mn |
| Sep 30, 2022 | 22.17 Mn |
| Jun 30, 2022 | 22.12 Mn |
| Mar 31, 2022 | 2.48 Mn |
| Dec 31, 2021 | 2.48 Mn |
| Sep 30, 2021 | 2.45 Mn |
API Access
Precision Biosciences Total Debt 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-debt&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();