Pricesmart (PSMT) Other Accumulated Expenses (2015 - 2026)
Pricesmart's Other Accumulated Expenses was $67.94 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 55.9% from $43.57 million a year earlier but down 16.7% from the prior quarter.
Pricesmart (PSMT) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Other Accumulated Expenses at Pricesmart came in at $57.63 million, up 15.2% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier fiscal years, Other Accumulated Expenses was $50.04 million in FY2024 (-12.6%), $57.27 million in FY2023 (+48.1%), $38.67 million in FY2022 (-2.7%) and $39.74 million in FY2021 (+5.3%).
- Quarterly Other Accumulated Expenses has moved between $34.11 million (fiscal Q3 2023) and $81.51 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for seven straight quarters, with growth averaging 19.4% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q3 2026 (growth of 55.9%); the worst was fiscal Q4 2024 (a decline of 12.6%).
- Per Business Quant data, PSMT's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $81.51 million (Q2 2026), $71.86 million (Q1 2026) and $57.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 67.94 Mn |
| Feb 28, 2026 | 81.51 Mn |
| Nov 30, 2025 | 71.86 Mn |
| Aug 31, 2025 | 57.63 Mn |
| May 31, 2025 | 43.57 Mn |
| Feb 28, 2025 | 57.35 Mn |
| Nov 30, 2024 | 52.90 Mn |
| Aug 31, 2024 | 50.04 Mn |
| May 31, 2024 | 42.16 Mn |
| Feb 29, 2024 | 50.39 Mn |
| Nov 30, 2023 | 52.18 Mn |
| Aug 31, 2023 | 57.27 Mn |
| May 31, 2023 | 34.11 Mn |
| Feb 28, 2023 | 43.26 Mn |
| Nov 30, 2022 | 40.39 Mn |
| Aug 31, 2022 | 38.67 Mn |
| May 31, 2022 | 35.39 Mn |
| Feb 28, 2022 | 42.24 Mn |
| Nov 30, 2021 | 39.20 Mn |
| Aug 31, 2021 | 39.74 Mn |
Pricesmart Other Accumulated 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=other-accumulated-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PSMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();