Precision Biosciences (DTIL) Research & Development (2018 - 2026)
Precision Biosciences (DTIL) reported Research & Development of $12.39 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 2.9% from $12.77 million a year earlier and down 5.5% from the prior quarter.
Precision Biosciences (DTIL) Research & Development (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Precision Biosciences' Research & Development came in at $53.32 million, down 3.7% year-over-year; for FY2025 (ended Dec 31, 2025), it was $54.17 million, down 9.0% from FY2024.
- Research & Development has a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By fiscal year, Research & Development came in at $59.56 million in FY2024 (+11.6%), $53.38 million in FY2023 (+15.7%), $46.12 million in FY2022 (-60.0%) and $115.24 million in FY2021 (+17.5%).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Research & Development since fiscal Q1 2023.
- Year over year, Research & Development has now declined in each of the last three quarters, with an average decline of 4.5% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q3 2023 (growth of 34.8%); the low point was fiscal Q3 2022 (a decline of 54.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $13.11 million (Q1 2026), $14.46 million (Q4 2025) and $13.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | 12.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.39 Mn |
| Mar 31, 2026 | 13.11 Mn |
| Dec 31, 2025 | 14.46 Mn |
| Sep 30, 2025 | 13.35 Mn |
| Jun 30, 2025 | 12.77 Mn |
| Mar 31, 2025 | 13.59 Mn |
| Dec 31, 2024 | 15.91 Mn |
| Sep 30, 2024 | 13.08 Mn |
| Jun 30, 2024 | 17.23 Mn |
| Mar 31, 2024 | 13.34 Mn |
| Dec 31, 2023 | 13.39 Mn |
| Sep 30, 2023 | 15.85 Mn |
| Jun 30, 2023 | 13.09 Mn |
| Mar 31, 2023 | 11.05 Mn |
| Dec 31, 2022 | 12.68 Mn |
| Sep 30, 2022 | 11.76 Mn |
| Jun 30, 2022 | 22.94 Mn |
| Mar 31, 2022 | 19.97 Mn |
| Dec 31, 2021 | 26.47 Mn |
| Sep 30, 2021 | 25.94 Mn |
Precision Biosciences Research & Development 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=research-and-development&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();