Precision Biosciences (DTIL) Assets (2018 - 2026)
Precision Biosciences (DTIL) recorded Assets of $125.92 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 15.6% from $108.93 million a year earlier but down 12.5% from the prior quarter.
Powered by 
Analysis
Precision Biosciences (DTIL) Assets (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences reported Assets of $154.42 million, up 13.2% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Across earlier fiscal years, Assets came in at $136.39 million in FY2024 (-14.6%), $159.78 million in FY2023 (-32.9%), $238.17 million in FY2022 (+12.6%) and $211.5 million in FY2021 (+40.9%).
- Quarterly Assets has ranged from $93.51 million in fiscal Q3 2025 to $297.16 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with an average decline of 10.4% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 40.9% in fiscal Q4 2021, against a decline of 39.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $143.89 million (Q1 2026), $154.42 million (Q4 2025) and $93.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.97 Bn | 1,135.56 Bn | 19.71 Bn | 142.28 Bn |
| 2 | Johnson & Johnson | 644.38 Bn | 564.24 Bn | 17.30 Bn | 197.43 Bn |
| 3 | AbbVie | 501.54 Bn | 474.65 Bn | 12.70 Bn | 135.12 Bn |
| 4 | Merck | 359.36 Bn | 313.74 Bn | 12.21 Bn | 129.80 Bn |
| 5 | Novartis Ag | 302.13 Bn | 266.12 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 267.59 Bn | 241.28 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 241.49 Bn | 196.89 Bn | 7.24 Bn | 95.64 Bn |
| 8 | Gilead Sciences | 192.85 Bn | 167.05 Bn | 6.22 Bn | 49.36 Bn |
| 9 | Pfizer | 171.77 Bn | 118.41 Bn | 10.94 Bn | 201.13 Bn |
| 10 | Precision Biosciences | 173.76 Mn | -175.43 Mn | - | 125.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.92 Mn |
| Mar 31, 2026 | 143.89 Mn |
| Dec 31, 2025 | 154.42 Mn |
| Sep 30, 2025 | 93.51 Mn |
| Jun 30, 2025 | 108.93 Mn |
| Mar 31, 2025 | 124.41 Mn |
| Dec 31, 2024 | 136.39 Mn |
| Sep 30, 2024 | 153.26 Mn |
| Jun 30, 2024 | 165.80 Mn |
| Mar 31, 2024 | 184.74 Mn |
| Dec 31, 2023 | 159.78 Mn |
| Sep 30, 2023 | 164.34 Mn |
| Jun 30, 2023 | 181.70 Mn |
| Mar 31, 2023 | 204.50 Mn |
| Dec 31, 2022 | 238.17 Mn |
| Sep 30, 2022 | 271.73 Mn |
| Jun 30, 2022 | 297.16 Mn |
| Mar 31, 2022 | 181.35 Mn |
| Dec 31, 2021 | 211.50 Mn |
| Sep 30, 2021 | 227.20 Mn |
API Access
Precision Biosciences 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=assets&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();