Precision Biosciences (DTIL) Long-Term Investments (2021 - 2026)
Precision Biosciences' Long-Term Investments was $744,000 in fiscal Q2 2026 (quarter ended Jun 30, 2026), unchanged from $744,000 a year earlier and unchanged from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Long-Term Investments (2021 - 2026) Analysis & Trends
From fiscal Q3 2021 onward, Precision Biosciences has reported Long-Term Investments for 20 quarters.
- Long-Term Investments shows a four-year compound annual growth rate of -33.3% (FY2021 to FY2025).
- In earlier fiscal years, Long-Term Investments was $3.21 million in FY2024 (unchanged), $3.21 million in FY2023 (+24.5%), $2.58 million in FY2022 (-31.3%) and $3.75 million in FY2021.
- Quarterly Long-Term Investments has moved between $744,000 (fiscal Q2 2025) and $3.75 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Long-Term Investments was higher in 1 of the last eight quarters, with an average decline of 28.7%.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q3 2022 (growth of 280.7%); the worst was fiscal Q2 2025 (a decline of 76.8%).
- Per Business Quant data, DTIL's Long-Term Investments in the three fiscal quarters before Q2 2026 was $744,000 (Q1 2026), $744,000 (Q4 2025) and $744,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.86 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 266.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 1.22 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 69.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 2.62 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | - |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.56 Bn |
| 10 | Precision Biosciences | 167.32 Mn | -181.86 Mn | - | 744,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 744,000.00 |
| Mar 31, 2026 | 744,000.00 |
| Dec 31, 2025 | 744,000.00 |
| Sep 30, 2025 | 744,000.00 |
| Jun 30, 2025 | 744,000.00 |
| Mar 31, 2025 | 3.21 Mn |
| Dec 31, 2024 | 3.21 Mn |
| Sep 30, 2024 | 3.21 Mn |
| Jun 30, 2024 | 3.21 Mn |
| Mar 31, 2024 | 3.21 Mn |
| Dec 31, 2023 | 3.21 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 2.58 Mn |
| Sep 30, 2022 | 3.09 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 3.75 Mn |
| Sep 30, 2021 | 812,000.00 |
API Access
Precision Biosciences Long-Term Investments 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=long-term-investments&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();