Zeo ScientifiX (ZEOX) Cost of Revenue (2012 - 2026)
Zeo ScientifiX's Cost of Revenue was $526,000 in fiscal Q2 2026 (quarter ended Apr 30, 2026), up 105.5% from $256,000 a year earlier and up 87.2% from the prior quarter.
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Analysis
Zeo ScientifiX (ZEOX) Cost of Revenue (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zeo ScientifiX's Cost of Revenue was $1.29 million through Apr 30, 2026, up 52.2% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $931,000, up 10.3% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In earlier fiscal years, Cost of Revenue was $844,000 in FY2024 (+66.1%), $508,000 in FY2023 (-32.6%), $753,534 in FY2022 (+37.5%) and $547,881 in FY2021 (+37.4%).
- The fiscal Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to fiscal Q1 2012.
- Compared with a year earlier, Cost of Revenue has increased for four straight quarters, with growth averaging 35.5% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2024 (growth of 163.0%); the worst was fiscal Q4 2023 (a decline of 50.6%).
- Per Business Quant data, ZEOX's Cost of Revenue in the three fiscal quarters before Q2 2026 was $281,000 (Q1 2026), $256,000 (Q4 2025) and $228,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Zeo ScientifiX | 9.73 Mn | 6.32 Mn | 2.06 Mn | 526,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 526,000.00 |
| Jan 31, 2026 | 281,000.00 |
| Oct 31, 2025 | 256,000.00 |
| Jul 31, 2025 | 228,000.00 |
| Apr 30, 2025 | 256,000.00 |
| Jan 31, 2025 | 191,000.00 |
| Oct 31, 2024 | 225,000.00 |
| Jul 31, 2024 | 176,000.00 |
| Apr 30, 2024 | 284,000.00 |
| Jan 31, 2024 | 159,000.00 |
| Oct 31, 2023 | 133,000.00 |
| Jul 31, 2023 | 162,000.00 |
| Apr 30, 2023 | 108,000.00 |
| Jan 31, 2023 | 104,000.00 |
| Oct 31, 2022 | 269,247.00 |
| Jul 31, 2022 | 208,749.00 |
| Apr 30, 2022 | 126,418.00 |
| Jan 31, 2022 | 149,120.00 |
| Oct 31, 2021 | 107,345.00 |
| Jul 31, 2021 | 136,044.00 |
API Access
Zeo ScientifiX Cost of Revenue 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=cost-of-revenue&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();