Ensysce Biosciences (ENSC) Selling, General & Administrative (2020 - 2026)
Ensysce Biosciences (ENSC) reported Selling, General & Administrative of $1.28 million for Q3 2025, up 18.1% from $1.08 million a year earlier and up 6.7% from the prior quarter.
Ensysce Biosciences (ENSC) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Ensysce Biosciences' Selling, General & Administrative came in at $4.96 million, down 2.4% year-over-year; for FY2024, it came in at $4.72 million, down 11.9% from FY2023.
- Selling, General & Administrative has declined for three consecutive years, though with a four-year compound annual growth rate of 42.2% (FY2020 to FY2024).
- By year, Selling, General & Administrative came in at $5.36 million in FY2023 (-22.4%), $6.91 million in FY2022 (-63.1%), $18.71 million in FY2021 and $1.15 million in FY2020.
- Five-year quarterly Selling, General & Administrative spans a low of $256,447 in Q4 2020 and a high of $16.37 million in Q3 2021.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 467.1%); the low point was Q3 2022 (a decline of 89.7%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $1.2 million (Q2 2025), $1.4 million (Q1 2025) and $1.08 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Ensysce Biosciences | 4.69 Mn | -3.04 Mn | - | 1.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.08 Mn |
| Sep 30, 2024 | 1.08 Mn |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.44 Mn |
| Sep 30, 2023 | 1.23 Mn |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 1.19 Mn |
| Sep 30, 2022 | 1.69 Mn |
| Jun 30, 2022 | 1.95 Mn |
| Mar 31, 2022 | 2.27 Mn |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 16.37 Mn |
Ensysce Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=ENSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ENSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();