Zeo ScientifiX (ZEOX) Non-Current Assets (2013 - 2026)
Zeo ScientifiX (ZEOX) posted Non-Current Assets of $620,000 for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 8.8% from $570,000 a year earlier and up 9.9% from the prior quarter.
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Analysis
Zeo ScientifiX (ZEOX) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Zeo ScientifiX's Non-Current Assets came in at $569,000, up 19.0% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior fiscal years, Zeo ScientifiX's Non-Current Assets was $478,000 in FY2024 (-17.6%), $580,000 in FY2023 (-68.4%), $1.83 million in FY2022 (+29.6%) and $1.42 million in FY2021 (+189.9%).
- The fiscal Q2 2026 figure stands as the highest quarterly Non-Current Assets since fiscal Q3 2023.
- On a year-over-year basis, Non-Current Assets has increased in each of the last five quarters, with an average decline of 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q1 2022, with growth of 196.7%; the weakest was fiscal Q4 2023, with a decline of 68.4%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $564,000 (Q1 2026), $569,000 (Q4 2025) and $589,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Zeo ScientifiX | 9.19 Mn | 5.78 Mn | 2.06 Mn | 620,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 620,000.00 |
| Jan 31, 2026 | 564,000.00 |
| Oct 31, 2025 | 569,000.00 |
| Jul 31, 2025 | 589,000.00 |
| Apr 30, 2025 | 570,000.00 |
| Jan 31, 2025 | 460,000.00 |
| Oct 31, 2024 | 478,000.00 |
| Jul 31, 2024 | 496,000.00 |
| Apr 30, 2024 | 514,000.00 |
| Jan 31, 2024 | 540,000.00 |
| Oct 31, 2023 | 580,000.00 |
| Jul 31, 2023 | 1.38 Mn |
| Apr 30, 2023 | 1.56 Mn |
| Jan 31, 2023 | 1.67 Mn |
| Oct 31, 2022 | 1.83 Mn |
| Jul 31, 2022 | 2.16 Mn |
| Apr 30, 2022 | 1.86 Mn |
| Jan 31, 2022 | 1.53 Mn |
| Oct 31, 2021 | 1.42 Mn |
| Jul 31, 2021 | 882,235.00 |
API Access
Zeo ScientifiX Non-Current Assets 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=non-current-assets&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();