Zeo ScientifiX (ZEOX) Total Current Liabilities (2012 - 2026)
Zeo ScientifiX's Total Current Liabilities was $3.11 million in fiscal Q2 2026 (quarter ended Apr 30, 2026), down 9.9% from $3.45 million a year earlier but up 7.8% from the prior quarter.
Zeo ScientifiX (ZEOX) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Current Liabilities at Zeo ScientifiX came in at $2.87 million, down 12.6% from FY2024.
- Total Current Liabilities has now declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $3.29 million in FY2024 (-18.0%), $4.01 million in FY2023 (-1.3%), $4.06 million in FY2022 (-1.5%) and $4.13 million in FY2021 (+62.5%).
- Quarterly Total Current Liabilities has moved between $2.87 million (fiscal Q4 2025) and $6.85 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for three straight quarters, with an average decline of 7.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2022 (growth of 74.4%); the worst was fiscal Q3 2023 (a decline of 51.6%).
- Per Business Quant data, ZEOX's Total Current Liabilities in the three fiscal quarters before Q2 2026 was $2.89 million (Q1 2026), $2.87 million (Q4 2025) and $3.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Zeo ScientifiX | 6.98 Mn | 3.57 Mn | 2.06 Mn | 3.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.11 Mn |
| Jan 31, 2026 | 2.89 Mn |
| Oct 31, 2025 | 2.87 Mn |
| Jul 31, 2025 | 3.88 Mn |
| Apr 30, 2025 | 3.45 Mn |
| Jan 31, 2025 | 3.35 Mn |
| Oct 31, 2024 | 3.29 Mn |
| Jul 31, 2024 | 3.63 Mn |
| Apr 30, 2024 | 3.62 Mn |
| Jan 31, 2024 | 3.92 Mn |
| Oct 31, 2023 | 4.01 Mn |
| Jul 31, 2023 | 3.32 Mn |
| Apr 30, 2023 | 3.28 Mn |
| Jan 31, 2023 | 3.43 Mn |
| Oct 31, 2022 | 4.06 Mn |
| Jul 31, 2022 | 6.85 Mn |
| Apr 30, 2022 | 6.04 Mn |
| Jan 31, 2022 | 4.95 Mn |
| Oct 31, 2021 | 4.13 Mn |
| Jul 31, 2021 | 3.93 Mn |
Zeo ScientifiX Total Current 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-current-liabilities&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();