Zeo ScientifiX (ZEOX) Return on Assets [ROA] (2013 - 2026)
Zeo ScientifiX (ZEOX) posted Return on Assets [ROA] of -130.25% for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 226.74 percentage points from -356.98% a year earlier and up 118.51 percentage points from the prior quarter.
Zeo ScientifiX (ZEOX) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Zeo ScientifiX's Return on Assets [ROA] came in at -345.99%, down 101.43 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +922.93 percentage points (FY2020 to FY2025).
- In prior fiscal years, Zeo ScientifiX's Return on Assets [ROA] was -244.56% in FY2024 (-84.28 pp), -160.29% in FY2023 (+58.47 pp), -218.76% in FY2022 (+562.14 pp) and -780.90% in FY2021 (+488.02 pp).
- The fiscal Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] since fiscal Q2 2013.
- On a year-over-year basis, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -5.52 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2022, with a gain of 1653.30 percentage points; the weakest was fiscal Q3 2021, with a drop of 276.01 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -248.76% (Q1 2026), -345.01% (Q4 2025) and -403.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Zeo ScientifiX | 6.78 Mn | 3.36 Mn | 2.06 Mn | -130.25% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -130.25% |
| Jan 31, 2026 | -248.76% |
| Oct 31, 2025 | -345.01% |
| Jul 31, 2025 | -403.69% |
| Apr 30, 2025 | -356.98% |
| Jan 31, 2025 | -344.32% |
| Oct 31, 2024 | -280.07% |
| Jul 31, 2024 | -254.56% |
| Apr 30, 2024 | -261.82% |
| Jan 31, 2024 | -235.94% |
| Oct 31, 2023 | -276.79% |
| Jul 31, 2023 | -309.00% |
| Apr 30, 2023 | -262.81% |
| Jan 31, 2023 | -180.43% |
| Oct 31, 2022 | -203.15% |
| Jul 31, 2022 | -286.43% |
| Apr 30, 2022 | -256.95% |
| Jan 31, 2022 | -314.07% |
| Oct 31, 2021 | -699.15% |
| Jul 31, 2021 | -1,121.77% |
Zeo ScientifiX Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ZEOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();