Precision Biosciences (DTIL) Accounts Payables (2018 - 2026)
Precision Biosciences' Accounts Payables came in at $828,000 for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 26.1% from $1.12 million a year earlier and down 12.3% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Accounts Payables was $296,000, down 77.4% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- Going back by fiscal year, Accounts Payables was $1.31 million in FY2024 (-55.8%), $2.97 million in FY2023 (+354.5%), $653,000 in FY2022 (-42.9%) and $1.14 million in FY2021 (+44.4%).
- The five-year range for quarterly Accounts Payables is $296,000 (fiscal Q4 2025) to $2.97 million (fiscal Q4 2023).
- Year-over-year, Accounts Payables increased in three of the last eight quarters, with an average decline of 7.2%.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q4 2023 (growth of 354.5%), and the weakest in fiscal Q4 2025 (a decline of 77.4%).
- Business Quant data shows DTIL's Accounts Payables at $944,000 (Q1 2026), $296,000 (Q4 2025) and $1.34 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | 828,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 828,000.00 |
| Mar 31, 2026 | 944,000.00 |
| Dec 31, 2025 | 296,000.00 |
| Sep 30, 2025 | 1.34 Mn |
| Jun 30, 2025 | 1.12 Mn |
| Mar 31, 2025 | 924,000.00 |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 958,000.00 |
| Jun 30, 2024 | 1.14 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 2.97 Mn |
| Sep 30, 2023 | 531,000.00 |
| Jun 30, 2023 | 781,000.00 |
| Mar 31, 2023 | 701,000.00 |
| Dec 31, 2022 | 653,000.00 |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 797,000.00 |
| Mar 31, 2022 | 699,000.00 |
| Dec 31, 2021 | 1.14 Mn |
| Sep 30, 2021 | 486,000.00 |
API Access
Precision Biosciences Accounts Payables 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=accounts-payables&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();