Evolus (EOLS) Return on Sales [ROS] (2019 - 2026)
Evolus (EOLS) posted Return on Sales [ROS] of -5.40% for Q2 2026, up 9.31 percentage points from -14.71% a year earlier and up 3.96 percentage points from the prior quarter.
Evolus (EOLS) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Evolus was -5.90%, up 9.63 percentage points year-over-year; for FY2025, it was -10.99%, up 1.93 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for six consecutive years, with a five-year change of +259.73 percentage points (FY2020 to FY2025).
- In prior years, Evolus' Return on Sales [ROS] was -12.92% in FY2024 (+11.44 pp), -24.36% in FY2023 (+19.60 pp), -43.96% in FY2022 (+0.59 pp) and -44.55% in FY2021 (+226.17 pp).
- Quarterly Return on Sales [ROS] has run from a low of -71.63% in Q3 2021 to a high of 4.67% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +5.10 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 472.97 percentage points; the weakest was Q1 2022, with a drop of 111.13 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -9.36% (Q1 2026), 4.67% (Q4 2025) and -16.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Evolus | 471.34 Mn | 279.03 Mn | 57.18 Mn | -5.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.40% |
| Mar 31, 2026 | -9.36% |
| Dec 31, 2025 | 4.67% |
| Sep 30, 2025 | -16.67% |
| Jun 30, 2025 | -14.71% |
| Mar 31, 2025 | -22.14% |
| Dec 31, 2024 | -2.93% |
| Sep 30, 2024 | -25.33% |
| Jun 30, 2024 | -11.51% |
| Mar 31, 2024 | -15.04% |
| Dec 31, 2023 | -14.16% |
| Sep 30, 2023 | -26.87% |
| Jun 30, 2023 | -30.64% |
| Mar 31, 2023 | -28.86% |
| Dec 31, 2022 | -24.37% |
| Sep 30, 2022 | -52.80% |
| Jun 30, 2022 | -57.44% |
| Mar 31, 2022 | -45.56% |
| Dec 31, 2021 | -52.02% |
| Sep 30, 2021 | -71.63% |
Evolus Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();