Veru (VERU) Return on Capital Employed [ROCE] (2013 - 2026)
Veru (VERU) reported Return on Capital Employed [ROCE] of -82.31% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 72.10 percentage points from -154.41% a year earlier but down 11.42 percentage points from the prior quarter.
Veru (VERU) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Veru posted Return on Capital Employed [ROCE] of -41.99%, up 43.16 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -3.04 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Capital Employed [ROCE] came in at -85.15% in FY2024 (+40.09 pp), -125.24% in FY2023 (-54.52 pp), -70.73% in FY2022 (-83.82 pp) and 13.09% in FY2021 (+52.04 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -336.15% in fiscal Q3 2023 and a high of 7.94% in fiscal Q4 2021.
- Year over year, Return on Capital Employed [ROCE] gained in four of the last seven quarters, with an average year-over-year change of +25.01 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q3 2024 (a gain of 275.38 percentage points); the low point was fiscal Q3 2023 (a drop of 307.05 percentage points).
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 | Veru | 57.86 Mn | -52.42 Mn | - | -82.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82.31% |
| Mar 31, 2026 | -70.89% |
| Dec 31, 2025 | -99.26% |
| Jun 30, 2025 | -154.41% |
| Mar 31, 2025 | -127.34% |
| Dec 31, 2024 | -90.86% |
| Sep 30, 2024 | -72.87% |
| Jun 30, 2024 | -60.77% |
| Mar 31, 2024 | -57.33% |
| Dec 31, 2023 | -130.92% |
| Sep 30, 2023 | -251.41% |
| Jun 30, 2023 | -336.15% |
| Mar 31, 2023 | -268.88% |
| Dec 31, 2022 | -143.48% |
| Sep 30, 2022 | -76.41% |
| Jun 30, 2022 | -29.10% |
| Mar 31, 2022 | -14.19% |
| Dec 31, 2021 | -6.93% |
| Sep 30, 2021 | 7.94% |
| Jun 30, 2021 | 2.19% |
Veru 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=VERU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VERU", "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=VERU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();