Odyssey Health (ODYY) Operating Expenses (2014 - 2026)
Odyssey Health's Operating Expenses was $297,554 in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 130.6% from $129,055 a year earlier and up 63.5% from the prior quarter.
Powered by 
Analysis
Odyssey Health (ODYY) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Odyssey Health's Operating Expenses was $938,364 through Apr 30, 2026, down 44.1% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $1.02 million, down 52.3% from FY2024.
- Operating Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -23.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $2.14 million in FY2024 (-6.7%), $2.29 million in FY2023 (-45.9%), $4.24 million in FY2022 (-34.0%) and $6.42 million in FY2021 (+66.9%).
- Quarterly Operating Expenses has moved between -$202,901 (fiscal Q4 2023) and $2.87 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last seven quarters, with an average decline of 14.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2022 (growth of 211.8%); the worst was fiscal Q4 2022 (a decline of 81.9%).
- Per Business Quant data, ODYY's Operating Expenses in the three fiscal quarters before Q3 2026 was $181,942 (Q2 2026), $303,190 (Q1 2026) and $155,678 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Odyssey Health | 1.01 Mn | 50,883.61 | - | 297,554.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 297,554.00 |
| Jan 31, 2026 | 181,942.00 |
| Oct 31, 2025 | 303,190.00 |
| Jul 31, 2025 | 155,678.00 |
| Apr 30, 2025 | 129,055.00 |
| Jan 31, 2025 | 156,593.00 |
| Oct 31, 2024 | 579,427.00 |
| Jul 31, 2024 | 814,240.00 |
| Apr 30, 2024 | 320,888.00 |
| Jan 31, 2024 | 480,039.00 |
| Oct 31, 2023 | 524,441.00 |
| Jul 31, 2023 | -202,901.00 |
| Apr 30, 2023 | 540,646.00 |
| Jan 31, 2023 | 822,826.00 |
| Oct 31, 2022 | 1.30 Mn |
| Jul 31, 2022 | -2.04 Mn |
| Apr 30, 2022 | 2.87 Mn |
| Jan 31, 2022 | 1.98 Mn |
| Oct 31, 2021 | 1.43 Mn |
| Jul 31, 2021 | 2.61 Mn |
API Access
Odyssey Health Operating 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=operating-expenses&ticker=ODYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ODYY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ODYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();