Zeo ScientifiX (ZEOX) Depreciation and Depletion (2016 - 2026)
Zeo ScientifiX (ZEOX) reported Depreciation and Depletion of $19,000 for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 18.8% from $16,000 a year earlier and unchanged from the prior quarter.
Zeo ScientifiX (ZEOX) Depreciation and Depletion (2016 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Zeo ScientifiX's Depreciation and Depletion came in at $77,000, up 10.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $73,000, down 1.4% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- By fiscal year, Depreciation and Depletion came in at $74,000 in FY2024 (-30.2%), $106,000 in FY2023 (+29.2%), $82,036 in FY2022 (+55.7%) and $52,702 in FY2021 (+43.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $13,125 in fiscal Q3 2021 and a high of $31,000 in fiscal Q3 2023.
- Year over year, Depreciation and Depletion has now increased in each of the last four quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q1 2023 (growth of 104.7%); the low point was fiscal Q3 2024 (a decline of 41.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $19,000 (Q1 2026), $20,000 (Q4 2025) and $19,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Zeo ScientifiX | 9.73 Mn | 6.32 Mn | 2.06 Mn | 19,000.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 19,000.00 |
| Jan 31, 2026 | 19,000.00 |
| Oct 31, 2025 | 20,000.00 |
| Jul 31, 2025 | 19,000.00 |
| Apr 30, 2025 | 16,000.00 |
| Jan 31, 2025 | 18,000.00 |
| Oct 31, 2024 | 18,000.00 |
| Jul 31, 2024 | 18,000.00 |
| Apr 30, 2024 | 19,000.00 |
| Jan 31, 2024 | 19,000.00 |
| Oct 31, 2023 | 16,000.00 |
| Jul 31, 2023 | 31,000.00 |
| Apr 30, 2023 | 29,000.00 |
| Jan 31, 2023 | 29,000.00 |
| Oct 31, 2022 | 27,449.00 |
| Jul 31, 2022 | 21,812.00 |
| Apr 30, 2022 | 18,605.00 |
| Jan 31, 2022 | 14,170.00 |
| Oct 31, 2021 | 14,721.00 |
| Jul 31, 2021 | 13,125.00 |
Zeo ScientifiX Depreciation and Depletion 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=depreciation-and-depletion&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();