Zeo ScientifiX (ZEOX) Return on Sales [ROS] (2012 - 2026)
Zeo ScientifiX (ZEOX) reported Return on Sales [ROS] of -19.84% for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 101.49 percentage points from -121.32% a year earlier and up 40.88 percentage points from the prior quarter.
Zeo ScientifiX (ZEOX) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Zeo ScientifiX's Return on Sales [ROS] came in at -59.10%, up 55.47 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was -103.60%, up 11.53 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +303.43 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at -115.13% in FY2024 (+33.36 pp), -148.49% in FY2023 (-12.25 pp), -136.23% in FY2022 (+91.44 pp) and -227.68% in FY2021 (+179.36 pp).
- The fiscal Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q2 2013.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +20.57 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2021 (a gain of 581.92 percentage points); the low point was fiscal Q4 2022 (a drop of 163.20 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at -60.72% (Q1 2026), -40.39% (Q4 2025) and -158.58% (Q3 2025).
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 | Zeo ScientifiX | 6.78 Mn | 3.36 Mn | 2.06 Mn | -19.84% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -19.84% |
| Jan 31, 2026 | -60.72% |
| Oct 31, 2025 | -40.39% |
| Jul 31, 2025 | -158.58% |
| Apr 30, 2025 | -121.32% |
| Jan 31, 2025 | -114.95% |
| Oct 31, 2024 | -114.55% |
| Jul 31, 2024 | -107.06% |
| Apr 30, 2024 | -138.28% |
| Jan 31, 2024 | -100.69% |
| Oct 31, 2023 | -86.64% |
| Jul 31, 2023 | -118.43% |
| Apr 30, 2023 | -226.39% |
| Jan 31, 2023 | -203.36% |
| Oct 31, 2022 | -220.36% |
| Jul 31, 2022 | -161.24% |
| Apr 30, 2022 | -72.52% |
| Jan 31, 2022 | -102.64% |
| Oct 31, 2021 | -57.16% |
| Jul 31, 2021 | -101.83% |
Zeo ScientifiX 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=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ZEOX", "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=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();