Precision Biosciences (DTIL) Net Long-Term Debt Issued (Repaid) (2019 - 2024)
Precision Biosciences (DTIL) recorded Net Long-Term Debt Issued (Repaid) of -$20,000 in fiscal Q4 2024 (quarter ended Dec 31, 2024).
Powered by 
Analysis
Precision Biosciences (DTIL) Net Long-Term Debt Issued (Repaid) (2019 - 2024) Analysis & Trends
For FY2024 (ended Dec 31, 2024), Precision Biosciences reported Net Long-Term Debt Issued (Repaid) of $22.47 million.
- Annual Net Long-Term Debt Issued (Repaid) has a five-year compound annual growth rate of -10.7% (FY2019 to FY2024).
- Across earlier fiscal years, Net Long-Term Debt Issued (Repaid) came in at $19.81 million in FY2022 (+701.8%) and $2.47 million in FY2021.
- The fiscal Q4 2024 figure is the highest quarterly Net Long-Term Debt Issued (Repaid) since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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 | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 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 | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 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 |
|---|---|
| Dec 31, 2024 | -20,000.00 |
| Dec 31, 2022 | -5,000.00 |
| Sep 30, 2022 | -160,000.00 |
| Dec 31, 2021 | 2.51 Mn |
| Sep 30, 2021 | -5,000.00 |
| Mar 31, 2019 | 39.55 Mn |
API Access
Precision Biosciences Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();