Zeo ScientifiX (ZEOX) Accumulated Expenses (2013 - 2026)
Zeo ScientifiX's Accumulated Expenses was $1.73 million in fiscal Q1 2022 (quarter ended Jan 31, 2022), up 23.3% from $1.4 million a year earlier and up 12.2% from the prior quarter.
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Analysis
Zeo ScientifiX (ZEOX) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2021 (ended Oct 31, 2021), Accumulated Expenses at Zeo ScientifiX came in at $1.54 million, up 33.4% from FY2020.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 32.5% (FY2016 to FY2021).
- In earlier fiscal years, Accumulated Expenses was $1.16 million in FY2020 (+83.0%), $631,809 in FY2019 (+92.8%), $327,662 in FY2018 (-85.0%) and $2.18 million in FY2017 (+477.5%).
- The fiscal Q1 2022 figure marks the highest quarterly Accumulated Expenses since fiscal Q1 2018.
- Compared with a year earlier, Accumulated Expenses has increased for 12 straight quarters, with growth averaging 47.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2019 (growth of 810.1%); the worst was fiscal Q2 2018 (a decline of 93.7%).
- Per Business Quant data, ZEOX's Accumulated Expenses in the three fiscal quarters before Q1 2022 was $1.54 million (Q4 2021), $1.33 million (Q3 2021) and $1.27 million (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Zeo ScientifiX | 6.78 Mn | 3.36 Mn | 2.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 12,000.00 |
| Jan 31, 2026 | 7,000.00 |
| Oct 31, 2025 | 1,000.00 |
| Jul 31, 2025 | 48,000.00 |
| Oct 31, 2024 | 5,000.00 |
| Jul 31, 2022 | 2.24 Mn |
| Apr 30, 2022 | 1.96 Mn |
| Jan 31, 2022 | 1.73 Mn |
| Oct 31, 2021 | 1.54 Mn |
| Jul 31, 2021 | 1.33 Mn |
| Apr 30, 2021 | 1.27 Mn |
| Jan 31, 2021 | 1.40 Mn |
| Oct 31, 2020 | 1.16 Mn |
| Jul 31, 2020 | 1.12 Mn |
| Apr 30, 2020 | 949,035.00 |
| Jan 31, 2020 | 814,261.00 |
| Oct 31, 2019 | 631,809.00 |
| Jul 31, 2019 | 703,925.00 |
| Apr 30, 2019 | 618,602.00 |
| Jan 31, 2019 | 465,213.00 |
API Access
Zeo ScientifiX Accumulated 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=accumulated-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ZEOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();