VitaNova Life Sciences (VNOV) Return on Sales [ROS] (2017 - 2026)
VitaNova Life Sciences (VNOV) recorded Return on Sales [ROS] of -37.99% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 6.77 percentage points from -31.22% a year earlier and down 31.83 percentage points from the prior quarter.
VitaNova Life Sciences (VNOV) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a TTM basis, VitaNova Life Sciences' Return on Sales [ROS] came in at -2.66% as of Jul 31, 2026, down 48.61 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 0.12%, down 45.27 percentage points from FY2025.
- Annual Return on Sales [ROS] has a four-year change of +11.26 percentage points (FY2022 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 45.39% in FY2025 (+9.36 pp), 36.03% in FY2024 (+99.79 pp), -63.76% in FY2023 (-52.62 pp) and -11.14% in FY2022.
- The fiscal Q1 2027 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +54.83 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 498.08 percentage points in fiscal Q2 2025, against a drop of 502.66 percentage points in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -6.15% (Q4 2026), 6.59% (Q3 2026) and 23.22% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | 20.45% |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 22.59% |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 18.38% |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.26% |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | VitaNova Life Sciences | 35.43 Mn | 29.80 Mn | 30,521.00 | -37.99% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -37.99% |
| Apr 30, 2026 | -6.15% |
| Jan 31, 2026 | 6.59% |
| Oct 31, 2025 | 23.22% |
| Jul 31, 2025 | -31.22% |
| Apr 30, 2025 | 55.41% |
| Jan 31, 2025 | 35.31% |
| Oct 31, 2024 | 21.43% |
| Jul 31, 2024 | -41.87% |
| Apr 30, 2024 | 42.73% |
| Jan 31, 2024 | 22.79% |
| Oct 31, 2023 | -476.65% |
| Jul 31, 2023 | -220.03% |
| Apr 30, 2023 | -146.17% |
| Jan 31, 2023 | -245.77% |
| Oct 31, 2022 | 26.01% |
| Jul 31, 2022 | 14.23% |
| Apr 30, 2022 | -59.57% |
| Jan 31, 2022 | 29.72% |
| Oct 31, 2021 | -66.65% |
VitaNova Life Sciences 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=VNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VNOV", "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=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();