Zeo ScientifiX (ZEOX) Non Operating Interest Expenses (2017 - 2026)
Zeo ScientifiX (ZEOX) reported Non Operating Interest Expenses of $11,000 for fiscal Q2 2026 (quarter ended Apr 30, 2026), down 47.6% from $21,000 a year earlier but up 10.0% from the prior quarter.
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Analysis
Zeo ScientifiX (ZEOX) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Zeo ScientifiX's Non Operating Interest Expenses came in at $76,000, down 13.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $98,000, up 6.5% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By fiscal year, Non Operating Interest Expenses came in at $92,000 in FY2024 (-78.7%), $431,000 in FY2023 (+8.2%), $398,260 in FY2022 (+949.9%) and $37,934 in FY2021 (-78.7%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $6,151 in fiscal Q4 2021 and a high of $172,000 in fiscal Q3 2023.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 29.1%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q3 2022 (growth of 586.3%); the low point was fiscal Q3 2024 (a decline of 86.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $10,000 (Q1 2026), $32,000 (Q4 2025) and $23,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 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 | 11,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 11,000.00 |
| Jan 31, 2026 | 10,000.00 |
| Oct 31, 2025 | 32,000.00 |
| Jul 31, 2025 | 23,000.00 |
| Apr 30, 2025 | 21,000.00 |
| Jan 31, 2025 | 22,000.00 |
| Oct 31, 2024 | 22,000.00 |
| Jul 31, 2024 | 23,000.00 |
| Apr 30, 2024 | 20,000.00 |
| Jan 31, 2024 | 27,000.00 |
| Oct 31, 2023 | 90,000.00 |
| Jul 31, 2023 | 172,000.00 |
| Apr 30, 2023 | 109,000.00 |
| Jan 31, 2023 | 61,000.00 |
| Oct 31, 2022 | 75,066.00 |
| Jul 31, 2022 | 133,648.00 |
| Apr 30, 2022 | 149,242.00 |
| Jan 31, 2022 | 40,304.00 |
| Oct 31, 2021 | 6,151.00 |
| Jul 31, 2021 | 19,473.00 |
API Access
Zeo ScientifiX Non Operating Interest Expenses 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-operating-interest-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();