Precision Biosciences (DTIL) Payables (2018 - 2026)
Precision Biosciences (DTIL) posted Payables of $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) Payables (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Payables came in at $296,000, down 77.4% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- In prior fiscal years, Precision Biosciences' 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%).
- Quarterly Payables has run from a low of $296,000 in fiscal Q4 2025 to a high of $2.97 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Payables increased in three of the last eight quarters, with an average decline of 7.2%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q4 2023, with growth of 354.5%; the weakest was fiscal Q4 2025, with a decline of 77.4%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $944,000 (Q1 2026), $296,000 (Q4 2025) and $1.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.92 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 | 5.96 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 | 7.03 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 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=payables&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();