Ensysce Biosciences (ENSC) Return on Sales [ROS] (2020 - 2025)
Ensysce Biosciences (ENSC) recorded Return on Sales [ROS] of -758.68% in Q3 2025, down 777.54 percentage points from 18.86% a year earlier and down 631.04 percentage points from the prior quarter.
Ensysce Biosciences (ENSC) Return on Sales [ROS] (2020 - 2025) Analysis & Trends
On a TTM basis, Ensysce Biosciences' Return on Sales [ROS] came in at -245.89% as of Sep 30, 2025, down 103.19 percentage points year-over-year; for FY2024, it was -129.18%, up 351.35 percentage points from FY2023.
- Annual Return on Sales [ROS] has a four-year change of -88.14 percentage points (FY2020 to FY2024).
- Across earlier years, Return on Sales [ROS] came in at -480.52% in FY2023 (+479.38 pp), -959.91% in FY2022 (-397.20 pp), -562.71% in FY2021 (-521.67 pp) and -41.04% in FY2020.
- The Q3 2025 figure is the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +67.09 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2932.86 percentage points in Q2 2023, against a drop of 3307.74 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -127.64% (Q2 2025), -149.08% (Q1 2025) and -274.34% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,158.11 Bn | 1,126.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 636.97 Bn | 556.83 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 501.44 Bn | 474.55 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 357.35 Bn | 311.73 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 301.15 Bn | 265.14 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.27 Bn | 238.95 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.93 Bn | 194.33 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.19 Bn | 168.38 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 172.28 Bn | 118.93 Bn | 10.94 Bn | 28.37% |
| 10 | Ensysce Biosciences | 1.30 Mn | -10.27 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -758.68% |
| Jun 30, 2025 | -127.64% |
| Mar 31, 2025 | -149.08% |
| Dec 31, 2024 | -274.34% |
| Sep 30, 2024 | 18.86% |
| Jun 30, 2024 | -1,075.62% |
| Mar 31, 2024 | -602.82% |
| Dec 31, 2023 | -612.72% |
| Sep 30, 2023 | -621.83% |
| Jun 30, 2023 | -467.70% |
| Mar 31, 2023 | -324.36% |
| Dec 31, 2022 | -432.57% |
| Sep 30, 2022 | -2,206.30% |
| Jun 30, 2022 | -3,400.56% |
| Mar 31, 2022 | -796.36% |
| Dec 31, 2021 | -122.71% |
| Sep 30, 2021 | -1,406.28% |
| Jun 30, 2021 | -92.82% |
| Mar 31, 2021 | -209.23% |
| Dec 31, 2020 | -262.51% |
Ensysce 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=ENSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ENSC", "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=ENSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();