Precision Biosciences (DTIL) Return on Assets [ROA] (2019 - 2026)
Precision Biosciences' Return on Assets [ROA] came in at -21.81% for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 45.26 percentage points from -67.07% a year earlier and up 1.27 percentage points from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences' Return on Assets [ROA] was -31.45%, down 36.29 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of +25.12 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Assets [ROA] was 4.84% in FY2024 (+35.66 pp), -30.82% in FY2023 (+18.84 pp), -49.65% in FY2022 (-27.92 pp) and -21.73% in FY2021 (+34.84 pp).
- The fiscal Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q1 2025.
- Year-over-year, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -9.80 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q2 2024 (a gain of 55.97 percentage points), and the weakest in fiscal Q3 2025 (a drop of 88.00 percentage points).
- Business Quant data shows DTIL's Return on Assets [ROA] at -23.08% (Q1 2026), -37.60% (Q4 2025) and -82.60% (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 2.14% |
| 10 | Precision Biosciences | 167.32 Mn | -181.86 Mn | - | -21.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.81% |
| Mar 31, 2026 | -23.08% |
| Dec 31, 2025 | -37.60% |
| Sep 30, 2025 | -82.60% |
| Jun 30, 2025 | -67.07% |
| Mar 31, 2025 | -16.86% |
| Dec 31, 2024 | 4.95% |
| Sep 30, 2024 | 5.41% |
| Jun 30, 2024 | 9.68% |
| Mar 31, 2024 | -16.06% |
| Dec 31, 2023 | -37.84% |
| Sep 30, 2023 | -42.49% |
| Jun 30, 2023 | -46.29% |
| Mar 31, 2023 | -48.36% |
| Dec 31, 2022 | -42.82% |
| Sep 30, 2022 | -39.17% |
| Jun 30, 2022 | -41.38% |
| Mar 31, 2022 | -24.34% |
| Dec 31, 2021 | -17.92% |
| Sep 30, 2021 | -14.01% |
API Access
Precision Biosciences Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();