Zeo ScientifiX (ZEOX) Revenue (2012 - 2026)
Zeo ScientifiX (ZEOX) posted Revenue of $2.58 million for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 124.6% from $1.15 million a year earlier and up 78.5% from the prior quarter.
Zeo ScientifiX (ZEOX) Revenue (2012 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Revenue at Zeo ScientifiX was $6.99 million, up 52.8% year-over-year; for FY2025 (ended Oct 31, 2025), it was $5.2 million, up 12.5% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior fiscal years, Zeo ScientifiX's Revenue was $4.62 million in FY2024 (+1.4%), $4.56 million in FY2023 (-29.8%), $6.49 million in FY2022 (+16.0%) and $5.6 million in FY2021 (+83.2%).
- The fiscal Q2 2026 figure stands as the highest quarterly Revenue in data going back to fiscal Q1 2012.
- On a year-over-year basis, Revenue has increased in each of the last five quarters, with growth averaging 22.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q2 2026, with growth of 124.6%; the weakest was fiscal Q2 2023, with a decline of 51.3%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.45 million (Q1 2026), $1.65 million (Q4 2025) and $1.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn | 2.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 2.58 Mn |
| Jan 31, 2026 | 1.45 Mn |
| Oct 31, 2025 | 1.65 Mn |
| Jul 31, 2025 | 1.31 Mn |
| Apr 30, 2025 | 1.15 Mn |
| Jan 31, 2025 | 1.09 Mn |
| Oct 31, 2024 | 1.24 Mn |
| Jul 31, 2024 | 1.09 Mn |
| Apr 30, 2024 | 1.13 Mn |
| Jan 31, 2024 | 1.15 Mn |
| Oct 31, 2023 | 1.42 Mn |
| Jul 31, 2023 | 1.22 Mn |
| Apr 30, 2023 | 845,000.00 |
| Jan 31, 2023 | 1.07 Mn |
| Oct 31, 2022 | 1.44 Mn |
| Jul 31, 2022 | 1.71 Mn |
| Apr 30, 2022 | 1.74 Mn |
| Jan 31, 2022 | 1.60 Mn |
| Oct 31, 2021 | 1.67 Mn |
| Jul 31, 2021 | 1.37 Mn |
Zeo ScientifiX Revenue 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=revenue&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();