Precision Biosciences (DTIL) Net Margin (2018 - 2026)
Precision Biosciences (DTIL) reported Net Margin of -170.15% for fiscal Q1 2026 (quarter ended Mar 31, 2026), up 70743.64 percentage points from -70913.79% a year earlier but down 229.01 percentage points from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Net Margin (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences posted Net Margin of -133.45%, down 143.88 percentage points from FY2024.
- Net Margin has a five-year change of +315.42 percentage points (FY2020 to FY2025).
- By fiscal year, Net Margin came in at 10.43% in FY2024 (+136.27 pp), -125.84% in FY2023 (+318.96 pp), -444.80% in FY2022 (-418.32 pp) and -26.49% in FY2021 (+422.37 pp).
- Five-year quarterly Net Margin spans a low of -167476.92% in fiscal Q3 2025 and a high of 65.63% in fiscal Q2 2024.
- Year over year, Net Margin gained in three of the last eight quarters, with an average year-over-year change of -37243.83 percentage points.
- The high point for year-over-year Net Margin in five years was fiscal Q1 2026 (a gain of 70743.64 percentage points); the low point was fiscal Q3 2025 (a drop of 164625.36 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at 58.86% (Q4 2025), -167476.92% (Q3 2025) and -130666.67% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 32.99% |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -170.15% |
| Dec 31, 2025 | 58.86% |
| Sep 30, 2025 | -167,476.92% |
| Jun 30, 2025 | -130,666.67% |
| Mar 31, 2025 | -70,913.79% |
| Dec 31, 2024 | -2,781.35% |
| Sep 30, 2024 | -2,851.56% |
| Jun 30, 2024 | 65.63% |
| Mar 31, 2024 | 48.84% |
| Dec 31, 2023 | -231.44% |
| Sep 30, 2023 | -61.58% |
| Jun 30, 2023 | -60.09% |
| Mar 31, 2023 | -285.42% |
| Dec 31, 2022 | -268.81% |
| Sep 30, 2022 | -325.22% |
| Jun 30, 2022 | -812.43% |
| Mar 31, 2022 | -849.20% |
| Dec 31, 2021 | -351.63% |
| Sep 30, 2021 | -46.93% |
| Jun 30, 2021 | 31.47% |
API Access
Precision Biosciences Net Margin 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=net-margin&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();