Evolus (EOLS) Return on Sales [ROS] (2017 - 2026)
Evolus (EOLS) posted Return on Sales [ROS] of -10.81% for Q3 2026, up 5.86 percentage points from -16.67% a year earlier but down 5.41 percentage points from the prior quarter.
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Analysis
Evolus (EOLS) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Evolus was -4.79%, up 8.92 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 -57.44% in Q2 2022 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 five quarters, with an average year-over-year change of +5.64 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 -5.40% (Q2 2026), -9.36% (Q1 2026) and 4.67% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Evolus | 450.43 Mn | 259.94 Mn | 50.69 Mn | -10.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -10.81% |
| 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% |
API Access
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_KEYimport 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();