Ensysce Biosciences (ENSC) Research & Development (2020 - 2025)
Ensysce Biosciences (ENSC) reported Research & Development of $2.95 million for Q3 2025, up 74.8% from $1.69 million a year earlier and up 53.6% from the prior quarter.
Ensysce Biosciences (ENSC) Research & Development (2020 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Ensysce Biosciences' Research & Development came in at $10.57 million, up 87.0% year-over-year; for FY2024, it was $7.22 million, down 4.9% from FY2023.
- Research & Development has a four-year compound annual growth rate of 13.2% (FY2020 to FY2024).
- By year, Research & Development came in at $7.59 million in FY2023 (-61.7%), $19.84 million in FY2022 (+322.9%), $4.69 million in FY2021 (+6.8%) and $4.39 million in FY2020.
- Five-year quarterly Research & Development spans a low of $284,378 in Q1 2021 and a high of $6.44 million in Q4 2022.
- Year over year, Research & Development has now increased in each of the last four quarters, with growth averaging 26.8% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q4 2022 (growth of 194.4%); the low point was Q2 2023 (a decline of 69.1%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $1.92 million (Q2 2025), $1.89 million (Q1 2025) and $3.8 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Ensysce Biosciences | 1.02 Mn | -10.55 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.95 Mn |
| Jun 30, 2025 | 1.92 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 3.80 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 947,229.00 |
| Mar 31, 2024 | 778,904.00 |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 1.91 Mn |
| Jun 30, 2023 | 1.64 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | 6.44 Mn |
| Sep 30, 2022 | 4.76 Mn |
| Jun 30, 2022 | 5.31 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | 2.19 Mn |
| Sep 30, 2021 | 1.71 Mn |
| Jun 30, 2021 | 463,219.00 |
| Mar 31, 2021 | 284,378.00 |
| Dec 31, 2020 | 1.25 Mn |
Ensysce Biosciences Research & Development 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=research-and-development&ticker=ENSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ENSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();