Zeo ScientifiX (ZEOX) Total Liabilities (2012 - 2026)
Zeo ScientifiX (ZEOX) posted Total Liabilities of $3.17 million for fiscal Q2 2026 (quarter ended Apr 30, 2026), down 10.2% from $3.54 million a year earlier but up 7.4% from the prior quarter.
Zeo ScientifiX (ZEOX) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Zeo ScientifiX's Total Liabilities came in at $2.95 million, down 10.5% from FY2024.
- Annual Total Liabilities has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior fiscal years, Zeo ScientifiX's Total Liabilities was $3.3 million in FY2024 (-18.1%), $4.02 million in FY2023 (-6.7%), $4.31 million in FY2022 (-6.2%) and $4.6 million in FY2021 (+68.7%).
- Quarterly Total Liabilities has run from a low of $2.95 million in fiscal Q4 2025 to a high of $7.17 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 6.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 71.5%; the weakest was fiscal Q3 2023, with a decline of 51.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.95 million (Q1 2026), $2.95 million (Q4 2025) and $3.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn | 3.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.17 Mn |
| Jan 31, 2026 | 2.95 Mn |
| Oct 31, 2025 | 2.95 Mn |
| Jul 31, 2025 | 3.97 Mn |
| Apr 30, 2025 | 3.54 Mn |
| Jan 31, 2025 | 3.36 Mn |
| Oct 31, 2024 | 3.30 Mn |
| Jul 31, 2024 | 3.64 Mn |
| Apr 30, 2024 | 3.63 Mn |
| Jan 31, 2024 | 3.94 Mn |
| Oct 31, 2023 | 4.02 Mn |
| Jul 31, 2023 | 3.48 Mn |
| Apr 30, 2023 | 3.47 Mn |
| Jan 31, 2023 | 3.64 Mn |
| Oct 31, 2022 | 4.31 Mn |
| Jul 31, 2022 | 7.17 Mn |
| Apr 30, 2022 | 6.41 Mn |
| Jan 31, 2022 | 5.37 Mn |
| Oct 31, 2021 | 4.60 Mn |
| Jul 31, 2021 | 4.18 Mn |
Zeo ScientifiX Total Liabilities 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=total-liabilities&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();