Precision Biosciences (DTIL) Common Equity (2018 - 2026)
Precision Biosciences (DTIL) recorded Common Equity of $45.29 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 33.0% from $34.05 million a year earlier but down 40.5% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Common Equity (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Precision Biosciences reported Common Equity of $92.25 million, up 63.6% from FY2024.
- Annual Common Equity has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier fiscal years, Common Equity came in at $56.39 million in FY2024 (+199.0%), $18.86 million in FY2023 (-68.8%), $60.43 million in FY2022 (-33.7%) and $91.17 million in FY2021 (+105.2%).
- Quarterly Common Equity has ranged from $16.63 million in fiscal Q3 2025 to $103.02 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Common Equity has increased for three consecutive quarters, with growth averaging 47.1% over the last eight quarters.
- Peak year-over-year performance for Common Equity in the last five years was growth of 199.0% in fiscal Q4 2024, against a decline of 74.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $76.1 million (Q1 2026), $92.25 million (Q4 2025) and $16.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 84.97 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -5.94 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 41.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 41.95 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 50.37 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 11.69 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.83 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 85.49 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 20.25 Bn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | 45.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.29 Mn |
| Mar 31, 2026 | 76.10 Mn |
| Dec 31, 2025 | 92.25 Mn |
| Sep 30, 2025 | 16.63 Mn |
| Jun 30, 2025 | 34.05 Mn |
| Mar 31, 2025 | 49.34 Mn |
| Dec 31, 2024 | 56.39 Mn |
| Sep 30, 2024 | 64.87 Mn |
| Jun 30, 2024 | 74.71 Mn |
| Mar 31, 2024 | 37.21 Mn |
| Dec 31, 2023 | 18.86 Mn |
| Sep 30, 2023 | 29.06 Mn |
| Jun 30, 2023 | 34.04 Mn |
| Mar 31, 2023 | 40.18 Mn |
| Dec 31, 2022 | 60.43 Mn |
| Sep 30, 2022 | 84.38 Mn |
| Jun 30, 2022 | 103.02 Mn |
| Mar 31, 2022 | 69.66 Mn |
| Dec 31, 2021 | 91.17 Mn |
| Sep 30, 2021 | 101.44 Mn |
API Access
Precision Biosciences Common Equity 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=common-equity&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "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=common-equity&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();