Pacific Sports Exchange (PSPX) Return on Sales [ROS] (2018 - 2026)
Pacific Sports Exchange (PSPX) recorded Return on Sales [ROS] of -909.96% in fiscal Q2 2026 (quarter ended Feb 28, 2026), down 551.31 percentage points from -358.65% a year earlier and down 451.73 percentage points from the prior quarter.
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Analysis
Pacific Sports Exchange (PSPX) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pacific Sports Exchange reported Return on Sales [ROS] of -798.80%, down 224.19 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight fiscal years, with a five-year change of -48.84 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -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).
- The fiscal Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -219.67 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2818.02 percentage points in fiscal Q4 2022, against a drop of 2669.35 percentage points in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -458.23% (Q1 2026), -861.00% (Q4 2025) and -812.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | -909.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -909.96% |
| Nov 30, 2025 | -458.23% |
| Aug 31, 2025 | -861.00% |
| May 31, 2025 | -812.46% |
| Feb 28, 2025 | -358.65% |
| Nov 30, 2024 | -1,071.35% |
| 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% |
API Access
Pacific Sports Exchange Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PSPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();