Zeo ScientifiX (ZEOX) Depreciation & Amortization (CF) (2016 - 2026)
Zeo ScientifiX's Depreciation & Amortization (CF) was $19,000 in 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 & Amortization (CF) (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zeo ScientifiX's Depreciation & Amortization (CF) was $77,000 through Apr 30, 2026, up 10.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $73,000, down 1.4% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation & Amortization (CF) was $74,000 in FY2024 (-84.8%), $486,000 in FY2023 (+46.2%), $332,508 in FY2022 (+530.9%) and $52,702 in FY2021 (+43.3%).
- Quarterly Depreciation & Amortization (CF) has moved between $13,125 (fiscal Q3 2021) and $262,797 (fiscal Q4 2022) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for four straight quarters, with an average decline of 7.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q2 2023 (growth of 738.5%); the worst was fiscal Q4 2023 (a decline of 93.9%).
- Per Business Quant data, ZEOX's Depreciation & Amortization (CF) in the three fiscal quarters before Q2 2026 was $19,000 (Q1 2026), $20,000 (Q4 2025) and $19,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Zeo ScientifiX | 9.34 Mn | 5.93 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 | 158,000.00 |
| Apr 30, 2023 | 156,000.00 |
| Jan 31, 2023 | 156,000.00 |
| Oct 31, 2022 | 262,797.00 |
| Jul 31, 2022 | 36,936.00 |
| 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 & Amortization (CF) 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-amortization-cf&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();