Veru (VERU) Return on Sales [ROS] (2012 - 2024)
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] (2012 - 2024) 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 | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Veru | 57.86 Mn | -52.42 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -151.57% |
| 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% |
| Jun 30, 2020 | -13.49% |
| Mar 31, 2020 | -3.01% |
| Dec 31, 2019 | -16.87% |
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();