Precision Biosciences (DTIL) Return on Sales [ROS] (2018 - 2026)
Precision Biosciences (DTIL) recorded Return on Sales [ROS] of -80.78% in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 121458.11 percentage points from -121538.89% a year earlier and up 2.95 percentage points from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Precision Biosciences reported Return on Sales [ROS] of -152.19%, down 114.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +300.05 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -38.08% in FY2024 (+51.67 pp), -89.76% in FY2023 (+158.50 pp), -248.26% in FY2022 (-214.18 pp) and -34.08% in FY2021 (+418.16 pp).
- Quarterly Return on Sales [ROS] has ranged from -158976.92% in fiscal Q3 2025 to 48.39% in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -19852.96 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 121458.11 percentage points in fiscal Q2 2026, against a drop of 155283.35 percentage points in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -83.73% (Q1 2026), 36.57% (Q4 2025) and -158976.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Precision Biosciences | 166.80 Mn | -182.39 Mn | - | -80.78% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -80.78% |
| Mar 31, 2026 | -83.73% |
| Dec 31, 2025 | 36.57% |
| Sep 30, 2025 | -158,976.92% |
| Jun 30, 2025 | -121,538.89% |
| Mar 31, 2025 | -76,248.28% |
| Dec 31, 2024 | -3,894.36% |
| Sep 30, 2024 | -3,693.58% |
| Jun 30, 2024 | 48.39% |
| Mar 31, 2024 | -23.81% |
| Dec 31, 2023 | -211.57% |
| Sep 30, 2023 | -94.23% |
| Jun 30, 2023 | -15.81% |
| Mar 31, 2023 | -152.10% |
| Dec 31, 2022 | -114.26% |
| Sep 30, 2022 | -199.32% |
| Jun 30, 2022 | -773.66% |
| Mar 31, 2022 | -824.09% |
| Dec 31, 2021 | -484.68% |
| Sep 30, 2021 | -48.02% |
API Access
Precision Biosciences Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();