Precision Biosciences (DTIL) Prepaid Assets (2018 - 2026)
Precision Biosciences' Prepaid Assets came in at $4 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 46.4% from $7.45 million a year earlier but up 14.0% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Prepaid Assets (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Prepaid Assets was $3.11 million, down 51.7% from FY2024.
- Prepaid Assets carries a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Going back by fiscal year, Prepaid Assets was $6.44 million in FY2024 (+7.8%), $5.98 million in FY2023 (-0.8%), $6.03 million in FY2022 (-65.4%) and $17.43 million in FY2021 (+202.6%).
- The five-year range for quarterly Prepaid Assets is $3.11 million (fiscal Q4 2025) to $21.19 million (fiscal Q3 2021).
- Year-over-year, Prepaid Assets has declined for four consecutive quarters, with an average decline of 20.3% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q4 2021 (growth of 202.6%), and the weakest in fiscal Q4 2022 (a decline of 65.4%).
- Business Quant data shows DTIL's Prepaid Assets at $3.5 million (Q1 2026), $3.11 million (Q4 2025) and $5.86 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 3.50 Mn |
| Dec 31, 2025 | 3.11 Mn |
| Sep 30, 2025 | 5.86 Mn |
| Jun 30, 2025 | 7.45 Mn |
| Mar 31, 2025 | 4.59 Mn |
| Dec 31, 2024 | 6.44 Mn |
| Sep 30, 2024 | 7.11 Mn |
| Jun 30, 2024 | 5.67 Mn |
| Mar 31, 2024 | 9.25 Mn |
| Dec 31, 2023 | 5.98 Mn |
| Sep 30, 2023 | 8.08 Mn |
| Jun 30, 2023 | 8.92 Mn |
| Mar 31, 2023 | 8.42 Mn |
| Dec 31, 2022 | 6.03 Mn |
| Sep 30, 2022 | 12.29 Mn |
| Jun 30, 2022 | 12.63 Mn |
| Mar 31, 2022 | 17.06 Mn |
| Dec 31, 2021 | 17.43 Mn |
| Sep 30, 2021 | 21.19 Mn |
API Access
Precision Biosciences Prepaid Assets 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=prepaid-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();