Precision Biosciences (DTIL) Revenue (2018 - 2026)
Precision Biosciences' Revenue was $10.84 million in fiscal Q1 2026 (quarter ended Mar 31, 2026), compared with $29,000 a year earlier and down 68.3% from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Revenue (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Revenue at Precision Biosciences came in at $34.26 million, down 50.1% from FY2024.
- Revenue shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $68.7 million in FY2024 (+41.0%), $48.73 million in FY2023 (+94.1%), $25.1 million in FY2022 (-78.3%) and $115.53 million in FY2021 (+375.7%).
- Quarterly Revenue has moved between $13,000 (fiscal Q3 2025) and $68.81 million (fiscal Q2 2021) over five years.
- Compared with a year earlier, Revenue was higher in 1 of the last six quarters, with an average decline of 55.3%.
- The best year-over-year quarter for Revenue over five years was fiscal Q2 2023 (growth of 418.0%); the worst was fiscal Q2 2025 (a decline of 100.0%).
- Per Business Quant data, DTIL's Revenue in the three fiscal quarters before Q1 2026 was $34.2 million (Q4 2025), $13,000 (Q3 2025) and $18,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.84 Mn |
| Dec 31, 2025 | 34.20 Mn |
| Sep 30, 2025 | 13,000.00 |
| Jun 30, 2025 | 18,000.00 |
| Mar 31, 2025 | 29,000.00 |
| Dec 31, 2024 | 638,000.00 |
| Sep 30, 2024 | 576,000.00 |
| Jun 30, 2024 | 49.90 Mn |
| Mar 31, 2024 | 17.58 Mn |
| Dec 31, 2023 | 7.04 Mn |
| Sep 30, 2023 | 13.12 Mn |
| Jun 30, 2023 | 19.79 Mn |
| Mar 31, 2023 | 8.78 Mn |
| Dec 31, 2022 | 10.60 Mn |
| Sep 30, 2022 | 7.36 Mn |
| Jun 30, 2022 | 3.82 Mn |
| Mar 31, 2022 | 3.32 Mn |
| Dec 31, 2021 | 6.34 Mn |
| Sep 30, 2021 | 24.04 Mn |
| Jun 30, 2021 | 68.81 Mn |
API Access
Precision Biosciences Revenue 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=revenue&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();