Veru (VERU) Return on Sales [ROS] (2009 - 2025)
Veru (VERU) recorded Return on Sales [ROS] of -151.57% in fiscal Q4 2024 (quarter ended Sep 30, 2024), up 60.14 percentage points from -211.71% a year earlier and up 115.14 percentage points from the prior quarter.
Veru (VERU) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
For FY2024 (ended Sep 30, 2024), Veru reported Return on Sales [ROS] of -218.61%, up 356.85 percentage points from FY2023.
- Annual Return on Sales [ROS] has a five-year change of -198.37 percentage points (FY2019 to FY2024).
- Across earlier fiscal years, Return on Sales [ROS] came in at -575.46% in FY2023 (-363.31 pp), -212.14% in FY2022 (-233.32 pp), 21.18% in FY2021 (+55.80 pp) and -34.62% in FY2020 (-14.39 pp).
- The fiscal Q4 2024 figure is the highest quarterly Return on Sales [ROS] since fiscal Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +138.76 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1524.24 percentage points in fiscal Q4 2023, against a drop of 1723.98 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -266.71% (Q3 2024), -214.95% (Q2 2024) and -345.30% (Q1 2024).
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 | Veru | 48.87 Mn | -61.41 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -698.87% |
| Jun 30, 2025 | -432.10% |
| Mar 31, 2025 | -300.67% |
| Dec 31, 2024 | -228.53% |
| Jun 30, 2024 | -266.71% |
| Mar 31, 2024 | -214.95% |
| Dec 31, 2023 | -345.30% |
| Sep 30, 2023 | -211.71% |
| Jun 30, 2023 | -411.12% |
| Mar 31, 2023 | -522.55% |
| Dec 31, 2022 | -1,493.54% |
| Sep 30, 2022 | -1,735.94% |
| Jun 30, 2022 | -227.28% |
| Mar 31, 2022 | -90.30% |
| Dec 31, 2021 | -35.11% |
| Sep 30, 2021 | -11.96% |
| Jun 30, 2021 | -16.27% |
| Mar 31, 2021 | -11.03% |
| Dec 31, 2020 | 131.27% |
| Sep 30, 2020 | -95.92% |
Veru 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=VERU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=VERU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();