Pacific Sports Exchange (PSPX) Return on Assets [ROA] (2019 - 2026)
Pacific Sports Exchange (PSPX) recorded Return on Assets [ROA] of -645.27% in fiscal Q2 2026 (quarter ended Feb 28, 2026), down 1031.68 percentage points from 386.41% a year earlier and down 186.71 percentage points from the prior quarter.
Pacific Sports Exchange (PSPX) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pacific Sports Exchange reported Return on Assets [ROA] of -638.54%, down 1177.52 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -479.05 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 538.98% in FY2024 (+1018.59 pp), -479.61% in FY2023 (-349.31 pp), -130.30% in FY2022 (+161.78 pp) and -292.08% in FY2021 (-132.59 pp).
- The fiscal Q2 2026 figure is the lowest quarterly Return on Assets [ROA] since fiscal Q1 2024.
- On a year-over-year basis, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of +34.69 percentage points over the last five quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 1905.90 percentage points in fiscal Q1 2025, against a drop of 1514.77 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -458.55% (Q1 2026), -363.13% (Q4 2025) and 60.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98% |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | -645.27% |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -645.27% |
| Nov 30, 2025 | -458.55% |
| Aug 31, 2025 | -363.13% |
| May 31, 2025 | 60.41% |
| Feb 28, 2025 | 386.41% |
| Nov 30, 2024 | 631.47% |
| Aug 31, 2024 | 778.67% |
| Nov 30, 2023 | -1,274.43% |
| Aug 31, 2023 | -752.40% |
| May 31, 2023 | -631.02% |
| Feb 28, 2023 | -325.67% |
| Nov 30, 2022 | -179.75% |
| Aug 31, 2022 | -145.80% |
| May 31, 2022 | -638.67% |
| Feb 28, 2022 | -1,687.33% |
| Nov 30, 2021 | -597.77% |
| Aug 31, 2021 | -374.36% |
| May 31, 2021 | -183.24% |
| Feb 28, 2021 | -172.56% |
| Nov 30, 2020 | -109.35% |
Pacific Sports Exchange Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PSPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();