Pacific Sports Exchange (PSPX) Asset Utilization Ratio (2019 - 2026)
Pacific Sports Exchange's Asset Utilization Ratio was 0.71 in fiscal Q2 2026 (quarter ended Feb 28, 2026), down 69.6% from 2.33 a year earlier and down 11.3% from the prior quarter.
Pacific Sports Exchange (PSPX) Asset Utilization Ratio (2019 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Asset Utilization Ratio at Pacific Sports Exchange came in at 0.80, down 72.7% from FY2024.
- Asset Utilization Ratio has now declined for three consecutive fiscal years.
- In earlier fiscal years, Asset Utilization Ratio was 2.93 in FY2024 (-15.3%), 3.46 in FY2023 (-21.2%), 4.39 in FY2022 (+298.9%) and 1.10 in FY2021 (+417.8%).
- Quarterly Asset Utilization Ratio has moved between 0.45 (fiscal Q4 2025) and 7.07 (fiscal Q2 2023) over five years.
- Compared with a year earlier, Asset Utilization Ratio has declined for three straight quarters, with an average decline of 61.7% over the last five quarters.
- The best year-over-year quarter for Asset Utilization Ratio over five years was fiscal Q2 2022 (growth of 667.0%); the worst was fiscal Q4 2025 (a decline of 89.3%).
- Per Business Quant data, PSPX's Asset Utilization Ratio in the three fiscal quarters before Q2 2026 was 0.80 (Q1 2026), 0.45 (Q4 2025) and 0.70 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 0.73 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.56 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.70 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 1.63 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.55 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 1.81 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.08 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.77 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 0.97 |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | 0.71 |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 0.71 |
| Nov 30, 2025 | 0.80 |
| Aug 31, 2025 | 0.45 |
| May 31, 2025 | 0.70 |
| Feb 28, 2025 | 2.33 |
| Nov 30, 2024 | 2.53 |
| Aug 31, 2024 | 4.24 |
| Nov 30, 2023 | 6.22 |
| Aug 31, 2023 | 5.43 |
| May 31, 2023 | 6.91 |
| Feb 28, 2023 | 7.07 |
| Nov 30, 2022 | 5.32 |
| Aug 31, 2022 | 4.92 |
| May 31, 2022 | 6.51 |
| Feb 28, 2022 | 7.02 |
| Nov 30, 2021 | 1.75 |
| Aug 31, 2021 | 1.41 |
| May 31, 2021 | 1.36 |
| Feb 28, 2021 | 0.92 |
| Nov 30, 2020 | 0.63 |
Pacific Sports Exchange Asset Utilization Ratio 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=asset-utilization-ratio&ticker=PSPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();