Precision Biosciences (DTIL) Intangibles (2018 - 2026)
Precision Biosciences' Intangibles came in at $1.09 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 80.7% from $605,000 a year earlier but down 3.0% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences' Intangibles was $1.17 million, up 87.5% from FY2024.
- Intangibles carries a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Going back by fiscal year, Intangibles was $622,000 in FY2024 (+55.5%), $400,000 in FY2023 (-45.3%), $731,000 in FY2022 (-64.3%) and $2.05 million in FY2021 (+49.2%).
- The five-year range for quarterly Intangibles is $375,000 (fiscal Q2 2024) to $2.07 million (fiscal Q3 2021).
- Year-over-year, Intangibles has increased for seven consecutive quarters, with growth averaging 65.2% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q3 2025 (growth of 153.9%), and the weakest in fiscal Q2 2024 (a decline of 75.8%).
- Business Quant data shows DTIL's Intangibles at $1.13 million (Q1 2026), $1.17 million (Q4 2025) and $985,000 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | 1.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Mn |
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 985,000.00 |
| Jun 30, 2025 | 605,000.00 |
| Mar 31, 2025 | 607,000.00 |
| Dec 31, 2024 | 622,000.00 |
| Sep 30, 2024 | 388,000.00 |
| Jun 30, 2024 | 375,000.00 |
| Mar 31, 2024 | 386,000.00 |
| Dec 31, 2023 | 400,000.00 |
| Sep 30, 2023 | 977,000.00 |
| Jun 30, 2023 | 1.55 Mn |
| Mar 31, 2023 | 1.53 Mn |
| Dec 31, 2022 | 731,000.00 |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 2.05 Mn |
| Sep 30, 2021 | 2.07 Mn |
API Access
Precision Biosciences Intangibles 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=intangibles&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();