Evolus (EOLS) Return on Capital Employed [ROCE] (2018 - 2026)
Evolus (EOLS) posted Return on Capital Employed [ROCE] of -13.77% for Q2 2026, up 13.67 percentage points from -27.44% a year earlier and up 1.91 percentage points from the prior quarter.
Evolus (EOLS) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Evolus' Return on Capital Employed [ROCE] came in at -21.22%, up 2.06 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a five-year change of +322.70 percentage points (FY2020 to FY2025).
- In prior years, Evolus' Return on Capital Employed [ROCE] was -23.28% in FY2024 (+13.14 pp), -36.42% in FY2023 (+1.74 pp), -38.15% in FY2022 (-12.87 pp) and -25.29% in FY2021 (+318.63 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last eight quarters, with an average year-over-year change of +6.83 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 450.88 percentage points; the weakest was Q3 2021, with a drop of 56.10 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -15.68% (Q1 2026), -22.20% (Q4 2025) and -24.94% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Evolus | 471.34 Mn | 279.03 Mn | 57.18 Mn | -13.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.77% |
| Mar 31, 2026 | -15.68% |
| Dec 31, 2025 | -22.20% |
| Sep 30, 2025 | -24.94% |
| Jun 30, 2025 | -27.44% |
| Mar 31, 2025 | -24.39% |
| Dec 31, 2024 | -20.47% |
| Sep 30, 2024 | -23.84% |
| Jun 30, 2024 | -22.01% |
| Mar 31, 2024 | -28.68% |
| Dec 31, 2023 | -37.82% |
| Sep 30, 2023 | -42.72% |
| Jun 30, 2023 | -45.18% |
| Mar 31, 2023 | -48.21% |
| Dec 31, 2022 | -47.05% |
| Sep 30, 2022 | -48.30% |
| Jun 30, 2022 | -45.01% |
| Mar 31, 2022 | -34.22% |
| Dec 31, 2021 | -24.85% |
| Sep 30, 2021 | -86.02% |
Evolus Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=EOLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=EOLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();