Pacific Sports Exchange (PSPX) Operating Expenses (2018 - 2026)
Pacific Sports Exchange's Operating Expenses was $11,842 in fiscal Q2 2026 (quarter ended Feb 28, 2026), up 43.1% from $8,273 a year earlier and up 15.2% from the prior quarter.
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Analysis
Pacific Sports Exchange (PSPX) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pacific Sports Exchange's Operating Expenses was $44,478 through Feb 28, 2026, up 24.6% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $38,445, up 19.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $32,159 in FY2024 (+8.9%), $29,538 in FY2023 (-7.6%), $31,979 in FY2022 (-46.4%) and $59,623 in FY2021 (+44.7%).
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2021.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 29.9%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 373.8%); the worst was fiscal Q4 2022 (a decline of 62.5%).
- Per Business Quant data, PSPX's Operating Expenses in the three fiscal quarters before Q2 2026 was $10,281 (Q1 2026), $11,493 (Q4 2025) and $10,862 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | 11,842.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 11,842.00 |
| Nov 30, 2025 | 10,281.00 |
| Aug 31, 2025 | 11,493.00 |
| May 31, 2025 | 10,862.00 |
| Feb 28, 2025 | 8,273.00 |
| Nov 30, 2024 | 7,817.00 |
| Aug 31, 2024 | 11,780.00 |
| May 31, 2024 | 7,830.00 |
| Feb 28, 2024 | 6,355.00 |
| Nov 30, 2023 | 6,194.00 |
| Aug 31, 2023 | 11,530.00 |
| May 31, 2023 | 4,621.00 |
| Feb 28, 2023 | 9,835.00 |
| Nov 30, 2022 | 3,552.00 |
| Aug 31, 2022 | 11,405.00 |
| May 31, 2022 | 6,204.00 |
| Feb 28, 2022 | 10,414.00 |
| Nov 30, 2021 | 3,956.00 |
| Aug 31, 2021 | 30,398.00 |
| May 31, 2021 | 7,474.00 |
API Access
Pacific Sports Exchange 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=PSPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PSPX", "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=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();