Evolus (EOLS) Selling, General & Administrative (2017 - 2026)
Evolus' Selling, General & Administrative came in at $57.05 million for Q2 2026, up 0.7% from $56.68 million a year earlier and up 9.8% from the prior quarter.
Evolus (EOLS) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Evolus reported Selling, General & Administrative of $216.5 million, up 0.2% year-over-year; for FY2025, it came in at $220.79 million, up 11.5% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $198.03 million in FY2024 (+20.1%), $164.94 million in FY2023 (+16.3%), $141.84 million in FY2022 (+26.6%) and $112.07 million in FY2021 (+14.1%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- Year-over-year, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 9.8%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2022 (growth of 61.8%), and the weakest in Q1 2026 (a decline of 8.2%).
- Business Quant data shows EOLS's Selling, General & Administrative at $51.98 million (Q1 2026), $54.66 million (Q4 2025) and $52.82 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 | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Evolus | 471.34 Mn | 279.03 Mn | 57.18 Mn | 57.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.05 Mn |
| Mar 31, 2026 | 51.98 Mn |
| Dec 31, 2025 | 54.66 Mn |
| Sep 30, 2025 | 52.82 Mn |
| Jun 30, 2025 | 56.68 Mn |
| Mar 31, 2025 | 56.64 Mn |
| Dec 31, 2024 | 50.24 Mn |
| Sep 30, 2024 | 52.51 Mn |
| Jun 30, 2024 | 50.15 Mn |
| Mar 31, 2024 | 45.12 Mn |
| Dec 31, 2023 | 43.06 Mn |
| Sep 30, 2023 | 43.33 Mn |
| Jun 30, 2023 | 41.17 Mn |
| Mar 31, 2023 | 37.38 Mn |
| Dec 31, 2022 | 36.73 Mn |
| Sep 30, 2022 | 34.79 Mn |
| Jun 30, 2022 | 36.88 Mn |
| Mar 31, 2022 | 33.44 Mn |
| Dec 31, 2021 | 33.27 Mn |
| Sep 30, 2021 | 31.67 Mn |
Evolus 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=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EOLS", "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=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();