Pricesmart (PSMT) Non-Current Assets (2010 - 2026)
Pricesmart's Non-Current Assets came in at $1.46 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 17.0% from $1.24 billion a year earlier and up 4.3% from the prior quarter.
Pricesmart (PSMT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Non-Current Assets was $2.82 million, down 6.2% from FY2024.
- Non-Current Assets has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -68.8% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $3.01 million in FY2024 (-70.9%), $10.32 million in FY2023 (-99.0%), $1.03 billion in FY2022 (+2.6%) and $1.01 billion in FY2021 (+5.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- Year-over-year, Non-Current Assets has increased for three consecutive quarters, with an average decline of 2.9% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2026 (growth of 17.0%), and the weakest in fiscal Q4 2023 (a decline of 99.0%).
- Business Quant data shows PSMT's Non-Current Assets at $1.39 billion (Q2 2026), $1.34 billion (Q1 2026) and $2.82 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.70 Bn | 901.13 Bn | 49.13 Bn | 205.21 Bn |
| 2 | Costco Wholesale | 442.50 Bn | 365.78 Bn | 12.19 Bn | 42.46 Bn |
| 3 | Sysco | 39.60 Bn | 33.85 Bn | 4.13 Bn | 14.96 Bn |
| 4 | Kroger | 37.91 Bn | 24.06 Bn | 7.86 Bn | 36.57 Bn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn | 23.39 Bn |
| 6 | Caseys General Stores | 25.56 Bn | 23.56 Bn | 1.24 Bn | 7.73 Bn |
| 7 | Dollar Tree | 23.85 Bn | 20.47 Bn | 2.10 Bn | 10.29 Bn |
| 8 | US Foods Holding | 22.40 Bn | 22.20 Bn | 1.92 Bn | 9.89 Bn |
| 9 | Tractor Supply | 17.30 Bn | 16.46 Bn | 1.68 Bn | 7.91 Bn |
| 10 | Pricesmart | 5.28 Bn | 4.02 Bn | 262.22 Mn | 1.46 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.46 Bn |
| Feb 28, 2026 | 1.39 Bn |
| Nov 30, 2025 | 1.34 Bn |
| Aug 31, 2025 | 2.82 Mn |
| May 31, 2025 | 1.24 Bn |
| Feb 28, 2025 | 1.22 Bn |
| Nov 30, 2024 | 1.20 Bn |
| Aug 31, 2024 | 3.01 Mn |
| May 31, 2024 | 1.20 Bn |
| Feb 29, 2024 | 1.19 Bn |
| Nov 30, 2023 | 1.15 Bn |
| Aug 31, 2023 | 10.32 Mn |
| May 31, 2023 | 1.09 Bn |
| Feb 28, 2023 | 1.05 Bn |
| Nov 30, 2022 | 1.03 Bn |
| Aug 31, 2022 | 1.03 Bn |
| May 31, 2022 | 1.04 Bn |
| Feb 28, 2022 | 1.03 Bn |
| Nov 30, 2021 | 1.01 Bn |
| Aug 31, 2021 | 1.01 Bn |
Pricesmart Non-Current Assets 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=non-current-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();