Evolus (EOLS) Operating Expenses (2017 - 2026)
Evolus' Operating Expenses came in at $61.72 million for Q2 2026, up 11.2% from $55.53 million a year earlier and up 10.7% from the prior quarter.
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Analysis
Evolus (EOLS) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Evolus reported Operating Expenses of $229.88 million, unchanged year-over-year; for FY2025, it was $229.77 million, up 6.0% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $216.72 million in FY2024 (+16.0%), $186.8 million in FY2023 (+20.4%), $155.1 million in FY2022 (+7.7%) and $144.08 million in FY2021 (-31.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 123.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 973.2%), and the weakest in Q4 2021 (a decline of 59.0%).
- Business Quant data shows EOLS's Operating Expenses at $55.75 million (Q1 2026), $55.07 million (Q4 2025) and $57.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Evolus | 525.47 Mn | 333.16 Mn | 57.18 Mn | 61.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.72 Mn |
| Mar 31, 2026 | 55.75 Mn |
| Dec 31, 2025 | 55.07 Mn |
| Sep 30, 2025 | 57.34 Mn |
| Jun 30, 2025 | 55.53 Mn |
| Mar 31, 2025 | 61.83 Mn |
| Dec 31, 2024 | 54.95 Mn |
| Sep 30, 2024 | 57.57 Mn |
| Jun 30, 2024 | 54.77 Mn |
| Mar 31, 2024 | 49.43 Mn |
| Dec 31, 2023 | 5.12 Mn |
| Sep 30, 2023 | 63.46 Mn |
| Jun 30, 2023 | 64.46 Mn |
| Mar 31, 2023 | 53.76 Mn |
| Dec 31, 2022 | -4.56 Mn |
| Sep 30, 2022 | 51.80 Mn |
| Jun 30, 2022 | 58.51 Mn |
| Mar 31, 2022 | 49.36 Mn |
| Dec 31, 2021 | 52.69 Mn |
| Sep 30, 2021 | 45.79 Mn |
API Access
Evolus Operating Expenses 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=operating-expenses&ticker=EOLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();