Preaxia Health Care Payment Systems (PAXH) Operating Expenses (2010 - 2026)
Preaxia Health Care Payment Systems (PAXH) posted Operating Expenses of $209,852 for fiscal Q4 2026 (quarter ended May 31, 2026), up 74.3% from $120,368 a year earlier and up 121.7% from the prior quarter.
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Analysis
Preaxia Health Care Payment Systems (PAXH) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Preaxia Health Care Payment Systems' Operating Expenses came in at $992,700, up 552.6% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 43.4% (FY2021 to FY2026).
- In prior fiscal years, Preaxia Health Care Payment Systems' Operating Expenses was $152,124 in FY2025 (+53.0%), $99,449 in FY2024 (-36.4%), $156,266 in FY2023 (-13.7%) and $181,011 in FY2022 (+10.6%).
- Quarterly Operating Expenses has run from a low of $4,611 in fiscal Q4 2024 to a high of $576,134 in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 215.3% over the last six quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 720.0%; the weakest was fiscal Q1 2025, with a decline of 88.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $94,659 (Q3 2026), $112,055 (Q2 2026) and $576,134 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.20 Bn | 23.45 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.72 Bn | 21.49 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.14 Bn | 20.96 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.93 Bn | 11.60 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.42 Bn | 13.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.63 Bn | 12.63 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.32 Bn | 7.27 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.91 Bn | 11.37 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Preaxia Health Care Payment Systems | 10.63 Mn | 10.42 Mn | - | 200,408.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 200,408.00 |
| May 31, 2026 | 209,852.00 |
| Feb 28, 2026 | 94,659.00 |
| Nov 30, 2025 | 112,055.00 |
| Aug 31, 2025 | 576,134.00 |
| May 31, 2025 | 120,368.00 |
| Feb 28, 2025 | 13,463.00 |
| Nov 30, 2024 | 13,666.00 |
| Aug 31, 2024 | 4,627.00 |
| May 31, 2024 | 4,611.00 |
| Feb 29, 2024 | 8,810.00 |
| Nov 30, 2023 | 45,109.00 |
| Aug 31, 2023 | 40,919.00 |
| May 31, 2023 | 37,339.00 |
| Feb 28, 2023 | 36,488.00 |
| Nov 30, 2022 | 45,092.00 |
| Aug 31, 2022 | 37,347.00 |
| May 31, 2022 | 48,687.00 |
| Feb 28, 2022 | 46,866.00 |
| Nov 30, 2021 | 43,885.00 |
API Access
Preaxia Health Care Payment Systems 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=PAXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAXH", "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=PAXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();