Precision Biosciences (DTIL) EBITDA Margin (2018 - 2026)
Precision Biosciences' EBITDA Margin came in at -80.97% for fiscal Q1 2026 (quarter ended Mar 31, 2026), up 74805.23 percentage points from -74886.21% a year earlier but down 118.65 percentage points from the prior quarter.
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Analysis
Precision Biosciences (DTIL) EBITDA Margin (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences' EBITDA Margin was -147.82%, down 114.69 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +268.29 percentage points (FY2020 to FY2025).
- Going back by fiscal year, EBITDA Margin was -33.13% in FY2024 (+42.64 pp), -75.77% in FY2023 (+141.42 pp), -217.19% in FY2022 (-190.88 pp) and -26.31% in FY2021 (+389.80 pp).
- The five-year range for quarterly EBITDA Margin is -156284.62% (fiscal Q3 2025) to 50.58% (fiscal Q2 2024).
- Year-over-year, EBITDA Margin increased in three of the last eight quarters, with an average year-over-year change of -34433.54 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in fiscal Q1 2026 (a gain of 74805.23 percentage points), and the weakest in fiscal Q3 2025 (a drop of 152715.17 percentage points).
- Business Quant data shows DTIL's EBITDA Margin at 37.67% (Q4 2025), -156284.62% (Q3 2025) and -119438.89% (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 39.10% |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -80.97% |
| Dec 31, 2025 | 37.67% |
| Sep 30, 2025 | -156,284.62% |
| Jun 30, 2025 | -119,438.89% |
| Mar 31, 2025 | -74,886.21% |
| Dec 31, 2024 | -3,823.20% |
| Sep 30, 2024 | -3,569.44% |
| Jun 30, 2024 | 50.58% |
| Mar 31, 2024 | -17.31% |
| Dec 31, 2023 | -193.39% |
| Sep 30, 2023 | -81.88% |
| Jun 30, 2023 | -5.88% |
| Mar 31, 2023 | -129.85% |
| Dec 31, 2022 | -95.76% |
| Sep 30, 2022 | -172.96% |
| Jun 30, 2022 | -723.17% |
| Mar 31, 2022 | -764.76% |
| Dec 31, 2021 | -450.37% |
| Sep 30, 2021 | -38.60% |
| Jun 30, 2021 | 34.88% |
API Access
Precision Biosciences EBITDA 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=ebitda-margin&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();