Precision Biosciences (DTIL) Interest Expenses (2019 - 2026)
Precision Biosciences' Interest Expenses came in at $300,000 for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 16.2% from $358,000 a year earlier and down 3.5% from the prior quarter.
Precision Biosciences (DTIL) Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Precision Biosciences reported Interest Expenses of $1.32 million, down 2.9% year-over-year; for FY2025 (ended Dec 31, 2025), it was $1.42 million, down 20.2% from FY2024.
- Interest Expenses carries a four-year compound annual growth rate of 81.2% (FY2021 to FY2025).
- Going back by fiscal year, Interest Expenses was $1.78 million in FY2024 (-20.1%), $2.23 million in FY2023 (+100.7%), $1.11 million in FY2022 (+741.7%) and $132,000 in FY2021.
- The fiscal Q2 2026 figure represents the lowest quarterly Interest Expenses since fiscal Q3 2024.
- Year-over-year, Interest Expenses has declined for three consecutive quarters, with an average decline of 20.1% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q4 2022 (growth of 817.0%), and the weakest in fiscal Q3 2024 (a decline of 55.6%).
- Business Quant data shows DTIL's Interest Expenses at $311,000 (Q1 2026), $348,000 (Q4 2025) and $362,000 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | 300,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 311,000.00 |
| Dec 31, 2025 | 348,000.00 |
| Sep 30, 2025 | 362,000.00 |
| Jun 30, 2025 | 358,000.00 |
| Mar 31, 2025 | 354,000.00 |
| Dec 31, 2024 | 392,000.00 |
| Sep 30, 2024 | 256,000.00 |
| Jun 30, 2024 | 560,000.00 |
| Mar 31, 2024 | 574,000.00 |
| Dec 31, 2023 | 579,000.00 |
| Sep 30, 2023 | 576,000.00 |
| Jun 30, 2023 | 553,000.00 |
| Mar 31, 2023 | 522,000.00 |
| Dec 31, 2022 | 486,000.00 |
| Sep 30, 2022 | 405,000.00 |
| Jun 30, 2022 | 178,000.00 |
| Mar 31, 2022 | 42,000.00 |
| Dec 31, 2021 | 53,000.00 |
| Sep 30, 2021 | 55,000.00 |
Precision Biosciences Interest Expenses 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=interest-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();