Precision Biosciences (DTIL) Cash & Equivalents (2018 - 2026)
Precision Biosciences (DTIL) recorded Cash & Equivalents of $86.08 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 38.3% from $62.24 million a year earlier but down 13.4% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences reported Cash & Equivalents of $110.82 million, up 29.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $85.9 million in FY2024 (-26.4%), $116.68 million in FY2023 (-38.5%), $189.58 million in FY2022 (+32.0%) and $143.66 million in FY2021 (+60.0%).
- Quarterly Cash & Equivalents has ranged from $44.87 million in fiscal Q3 2025 to $212.05 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 12.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 60.0% in fiscal Q4 2021, against a decline of 54.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $99.37 million (Q1 2026), $110.82 million (Q4 2025) and $44.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Precision Biosciences | 166.80 Mn | -182.39 Mn | - | 86.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.08 Mn |
| Mar 31, 2026 | 99.37 Mn |
| Dec 31, 2025 | 110.82 Mn |
| Sep 30, 2025 | 44.87 Mn |
| Jun 30, 2025 | 62.24 Mn |
| Mar 31, 2025 | 77.22 Mn |
| Dec 31, 2024 | 85.90 Mn |
| Sep 30, 2024 | 98.75 Mn |
| Jun 30, 2024 | 123.57 Mn |
| Mar 31, 2024 | 137.77 Mn |
| Dec 31, 2023 | 116.68 Mn |
| Sep 30, 2023 | 122.23 Mn |
| Jun 30, 2023 | 137.79 Mn |
| Mar 31, 2023 | 158.13 Mn |
| Dec 31, 2022 | 189.58 Mn |
| Sep 30, 2022 | 212.05 Mn |
| Jun 30, 2022 | 184.14 Mn |
| Mar 31, 2022 | 116.22 Mn |
| Dec 31, 2021 | 143.66 Mn |
| Sep 30, 2021 | 160.47 Mn |
API Access
Precision Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();