Zeo ScientifiX (ZEOX) Enterprise Value (2016 - 2026)
Zeo ScientifiX (ZEOX) recorded Enterprise Value of $13.26 million in fiscal Q2 2026 (quarter ended Apr 30, 2026), up 6.4% from $12.46 million a year earlier but down 31.3% from the prior quarter.
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Analysis
Zeo ScientifiX (ZEOX) Enterprise Value (2016 - 2026) Analysis & Trends
On a TTM basis, Zeo ScientifiX's Enterprise Value came in at $11.7 million as of Apr 30, 2026, up 17.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $12.4 million, up 22.4% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -77.6% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $10.13 million in FY2024 (-10.8%), $11.35 million in FY2023 (-99.8%), $6.14 billion in FY2022 (-55.6%) and $13.81 billion in FY2021 (-37.2%).
- Quarterly Enterprise Value has ranged from $6.67 million in fiscal Q1 2024 to $22.99 billion in fiscal Q3 2021 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 198.8% in fiscal Q3 2021, against a decline of 99.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.3 million (Q1 2026), $12.4 million (Q4 2025) and $11.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 13.26 Mn |
| Jan 31, 2026 | 19.30 Mn |
| Oct 31, 2025 | 12.40 Mn |
| Jul 31, 2025 | 11.97 Mn |
| Apr 30, 2025 | 12.46 Mn |
| Jan 31, 2025 | 15.90 Mn |
| Oct 31, 2024 | 10.13 Mn |
| Jul 31, 2024 | 12.06 Mn |
| Apr 30, 2024 | 7.17 Mn |
| Jan 31, 2024 | 6.67 Mn |
| Oct 31, 2023 | 11.35 Mn |
| Jul 31, 2023 | 4.95 Bn |
| Apr 30, 2023 | 2.98 Bn |
| Jan 31, 2023 | 5.06 Bn |
| Oct 31, 2022 | 6.14 Bn |
| Jul 31, 2022 | 7.24 Bn |
| Apr 30, 2022 | 4.67 Bn |
| Jan 31, 2022 | 8.27 Bn |
| Oct 31, 2021 | 13.81 Bn |
| Jul 31, 2021 | 22.99 Bn |
API Access
Zeo ScientifiX Enterprise Value 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=enterprise-value&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();