Zeo ScientifiX (ZEOX) EBITDA Margin (2016 - 2026)
Zeo ScientifiX's EBITDA Margin was -19.10% in fiscal Q2 2026 (quarter ended Apr 30, 2026), up 100.83 percentage points from -119.93% a year earlier and up 40.30 percentage points from the prior quarter.
Zeo ScientifiX (ZEOX) EBITDA Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zeo ScientifiX's EBITDA Margin was -57.99% through Apr 30, 2026, up 55.04 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at -102.19%, up 11.34 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +303.63 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was -113.53% in FY2024 (+24.30 pp), -137.82% in FY2023 (-6.71 pp), -131.11% in FY2022 (+95.62 pp) and -226.73% in FY2021 (+179.09 pp).
- The fiscal Q2 2026 figure marks the highest quarterly EBITDA Margin in data going back to fiscal Q1 2016.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of +18.98 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q3 2021 (a gain of 581.49 percentage points); the worst was fiscal Q4 2022 (a drop of 145.87 percentage points).
- Per Business Quant data, ZEOX's EBITDA Margin in the three fiscal quarters before Q2 2026 was -59.41% (Q1 2026), -39.18% (Q4 2025) and -157.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 39.10% |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn | -19.10% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -19.10% |
| Jan 31, 2026 | -59.41% |
| Oct 31, 2025 | -39.18% |
| Jul 31, 2025 | -157.12% |
| Apr 30, 2025 | -119.93% |
| Jan 31, 2025 | -113.30% |
| Oct 31, 2024 | -113.10% |
| Jul 31, 2024 | -105.41% |
| Apr 30, 2024 | -136.60% |
| Jan 31, 2024 | -99.05% |
| Oct 31, 2023 | -85.51% |
| Jul 31, 2023 | -105.49% |
| Apr 30, 2023 | -207.93% |
| Jan 31, 2023 | -188.79% |
| Oct 31, 2022 | -202.15% |
| Jul 31, 2022 | -159.09% |
| Apr 30, 2022 | -71.44% |
| Jan 31, 2022 | -101.76% |
| Oct 31, 2021 | -56.28% |
| Jul 31, 2021 | -100.87% |
Zeo ScientifiX EBITDA Margin 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=ebitda-margin&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();