Pacific Sports Exchange (PSPX) Operating Margin (2018 - 2025)
Pacific Sports Exchange (PSPX) posted Operating Margin of -458.23% for fiscal Q1 2026 (quarter ended Nov 30, 2025), up 402.77 percentage points from the prior quarter.
Pacific Sports Exchange (PSPX) Operating Margin (2018 - 2025) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pacific Sports Exchange's Operating Margin came in at -798.80%, down 224.19 percentage points from FY2024.
- Annual Operating Margin has declined for three consecutive fiscal years, with a five-year change of -48.84 percentage points (FY2020 to FY2025).
- In prior fiscal years, Pacific Sports Exchange's Operating Margin was -574.61% in FY2024 (-436.09 pp), -138.52% in FY2023 (-108.85 pp), -29.66% in FY2022 (+235.58 pp) and -265.25% in FY2021 (+484.72 pp).
- Quarterly Operating Margin has run from a low of -2906.77% in fiscal Q4 2021 to a high of 5.51% in fiscal Q3 2022 over five years.
- On a year-over-year basis, Operating Margin increased in two of the last six quarters, with an average year-over-year change of -219.03 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q4 2022, with a gain of 2818.02 percentage points; the weakest was fiscal Q4 2021, with a drop of 2669.35 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was -861.00% (Q4 2025), -812.46% (Q3 2025) and -358.65% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 19.08% |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | -458.23% |
| Aug 31, 2025 | -861.00% |
| May 31, 2025 | -812.46% |
| Feb 28, 2025 | -358.65% |
| Aug 31, 2024 | -1,171.00% |
| May 31, 2024 | -763.00% |
| Feb 28, 2024 | -550.45% |
| Nov 30, 2023 | -244.96% |
| Aug 31, 2023 | -426.29% |
| May 31, 2023 | -62.63% |
| Feb 28, 2023 | -229.01% |
| Nov 30, 2022 | -36.33% |
| Aug 31, 2022 | -88.76% |
| May 31, 2022 | 5.51% |
| Feb 28, 2022 | -73.57% |
| Nov 30, 2021 | -0.49% |
| Aug 31, 2021 | -2,906.77% |
| May 31, 2021 | -106.15% |
| Feb 28, 2021 | -366.83% |
| Nov 30, 2020 | -51.75% |
Pacific Sports Exchange Operating Margin 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-margin&ticker=PSPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();