Zeo ScientifiX (ZEOX) Other Operating Expenses (2012 - 2026)
Zeo ScientifiX (ZEOX) reported Other Operating Expenses of $295,000 for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 115.3% from $137,000 a year earlier and up 84.4% from the prior quarter.
Zeo ScientifiX (ZEOX) Other Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Zeo ScientifiX's Other Operating Expenses came in at $455,000, up 60.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $575,000, up 15.7% from FY2024.
- By fiscal year, Other Operating Expenses came in at $497,000 in FY2024.
- The fiscal Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to fiscal Q2 2012.
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
| Date | Value |
|---|---|
| Apr 30, 2026 | 295,000.00 |
| Jan 31, 2026 | 160,000.00 |
| Apr 30, 2025 | 137,000.00 |
| Jan 31, 2025 | 146,000.00 |
| Jan 31, 2016 | 109,005.00 |
| Jul 31, 2015 | 32,536.00 |
| Oct 31, 2014 | -41,855.00 |
| Jul 31, 2014 | 9,522.00 |
| Apr 30, 2012 | 762.00 |
Zeo ScientifiX Other Operating 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=other-operating-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();