Pacific Sports Exchange (PSPX) Change in Accured Expenses (2018 - 2026)
Pacific Sports Exchange (PSPX) reported Change in Accured Expenses of $3,572 for fiscal Q2 2026 (quarter ended Feb 28, 2026), compared with -$5,714 a year earlier.
Pacific Sports Exchange (PSPX) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Feb 28, 2026, Pacific Sports Exchange's Change in Accured Expenses came in at $2,103; for FY2025 (ended Aug 31, 2025), it was -$51,020.
- By fiscal year, Change in Accured Expenses came in at $29,873 in FY2024 (+83.1%), $16,317 in FY2023, -$3,996 in FY2022 and $37,338 in FY2021 (+106.1%).
- Five-year quarterly Change in Accured Expenses spans a low of -$52,231 in fiscal Q1 2025 and a high of $26,223 in fiscal Q4 2021.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with an average decline of 2.1%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2021 (growth of 636.0%); the low point was fiscal Q3 2025 (a decline of 90.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at -$8,394 (Q1 2026), $6,200 (Q4 2025) and $725.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Pacific Sports Exchange | 14.38 Mn | 14.37 Mn | - | 3,572.00 |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 3,572.00 |
| Nov 30, 2025 | -8,394.00 |
| Aug 31, 2025 | 6,200.00 |
| May 31, 2025 | 725.00 |
| Feb 28, 2025 | -5,714.00 |
| Nov 30, 2024 | -52,231.00 |
| Aug 31, 2024 | 11,688.00 |
| May 31, 2024 | 7,292.00 |
| Nov 30, 2023 | 5,373.00 |
| Aug 31, 2023 | 7,333.00 |
| May 31, 2023 | 4,306.00 |
| Feb 28, 2023 | 1,411.00 |
| Nov 30, 2022 | 3,267.00 |
| Aug 31, 2022 | 8,698.00 |
| May 31, 2022 | 4,966.00 |
| Feb 28, 2022 | 2,410.00 |
| Nov 30, 2021 | -20,070.00 |
| Aug 31, 2021 | 26,223.00 |
| May 31, 2021 | 6,058.00 |
| Feb 28, 2021 | 3,460.00 |
Pacific Sports Exchange Change in Accured 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=change-in-accured-expenses&ticker=PSPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PSPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();