Greenwich LifeSciences (GLSI) Return on Capital Employed [ROCE] (2020 - 2026)
Greenwich LifeSciences (GLSI) reported Return on Capital Employed [ROCE] of -704.69% for Q1 2026, up 196.05 percentage points from -900.74% a year earlier.
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Analysis
Greenwich LifeSciences (GLSI) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2024, Greenwich LifeSciences posted Return on Capital Employed [ROCE] of -747.61%, down 653.78 percentage points from FY2023.
- Return on Capital Employed [ROCE] has declined for four consecutive years, with a four-year change of -733.60 percentage points (FY2020 to FY2024).
- By year, Return on Capital Employed [ROCE] came in at -93.83% in FY2023 (-53.79 pp), -40.03% in FY2022 (-23.35 pp), -16.68% in FY2021 (-2.68 pp) and -14.01% in FY2020.
- The Q1 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year over year, Return on Capital Employed [ROCE] gained in 1 of the last seven quarters, with an average year-over-year change of -556.44 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2026 (a gain of 196.05 percentage points); the low point was Q2 2025 (a drop of 1327.30 percentage points).
Peer Set
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 | Greenwich LifeSciences | 249.03 Mn | 249.03 Mn | - | -704.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -704.69% |
| Sep 30, 2025 | -1,122.48% |
| Jun 30, 2025 | -1,537.36% |
| Mar 31, 2025 | -900.74% |
| Dec 31, 2024 | -994.06% |
| Sep 30, 2024 | -189.36% |
| Jun 30, 2024 | -210.06% |
| Mar 31, 2024 | -164.15% |
| Dec 31, 2023 | -119.93% |
| Sep 30, 2023 | -96.24% |
| Jun 30, 2023 | -83.23% |
| Mar 31, 2023 | -66.54% |
| Dec 31, 2022 | -56.23% |
| Sep 30, 2022 | -46.48% |
| Jun 30, 2022 | -32.92% |
| Mar 31, 2022 | -25.75% |
| Dec 31, 2021 | -16.61% |
| Sep 30, 2021 | -11.66% |
| Jun 30, 2021 | -9.38% |
| Mar 31, 2021 | -7.69% |
API Access
Greenwich LifeSciences 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=GLSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GLSI", "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=GLSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();