Emmaus Life Sciences (EMMA) Selling, General & Administrative (2010 - 2026)
Emmaus Life Sciences' Selling, General & Administrative came in at $1.57 million for Q2 2026, down 31.8% from $2.31 million a year earlier and down 14.9% from the prior quarter.
Emmaus Life Sciences (EMMA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Emmaus Life Sciences reported Selling, General & Administrative of $6.96 million, down 28.5% year-over-year; for FY2025, it was $8.18 million, down 23.5% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $10.69 million in FY2024 (-28.2%), $14.89 million in FY2023 (+13.1%), $13.17 million in FY2022 (-2.0%) and $13.44 million in FY2021 (-1.8%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q3 2017.
- Year-over-year, Selling, General & Administrative has declined for 12 consecutive quarters, with an average decline of 21.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2023 (growth of 44.9%), and the weakest in Q1 2024 (a decline of 41.2%).
- Business Quant data shows EMMA's Selling, General & Administrative at $1.85 million (Q1 2026), $1.8 million (Q4 2025) and $1.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Emmaus Life Sciences | 4.21 Mn | -2.09 Mn | 5.97 Mn | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | 1.85 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 2.31 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 2.29 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | 2.87 Mn |
| Dec 31, 2023 | 3.07 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 4.07 Mn |
| Mar 31, 2023 | 4.88 Mn |
| Dec 31, 2022 | 3.76 Mn |
| Sep 30, 2022 | 2.96 Mn |
| Jun 30, 2022 | 3.08 Mn |
| Mar 31, 2022 | 3.37 Mn |
| Dec 31, 2021 | 3.28 Mn |
| Sep 30, 2021 | 3.36 Mn |
Emmaus Life Sciences 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=EMMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EMMA", "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=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();