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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 36.69% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 32.68% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 46.88% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 40.60% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 39.77% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 46.62% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 50.63% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 42.49% |
| 10 | Zeo ScientifiX | 6.78 Mn | 3.36 Mn | 2.06 Mn | 58.39% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 58.39% |
| Jan 31, 2026 | 78.91% |
| Oct 31, 2025 | -1,125.09% |
| Jul 31, 2025 | 302.30% |
| Apr 30, 2025 | 402.26% |
| Jan 31, 2025 | 437.16% |
| Oct 31, 2024 | -1,558.20% |
| Jul 31, 2024 | 444.55% |
| Apr 30, 2024 | 393.90% |
| Jan 31, 2024 | 420.88% |
| Oct 31, 2023 | 4,555.84% |
| Jul 31, 2023 | 12,507.13% |
| Apr 30, 2023 | 10,679.64% |
| Jan 31, 2023 | 3,269.16% |
| Oct 31, 2022 | 3,338.68% |
| Jul 31, 2022 | 6,274.55% |
| Apr 30, 2022 | 7,420.61% |
| Jan 31, 2022 | 1,885.43% |
| 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_KEY
import 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();