Pricesmart (PSMT) Capital Expenditures (2010 - 2026)
Pricesmart's Capital Expenditures came in at $55.73 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 43.7% from $38.77 million a year earlier and up 12.0% from the prior quarter.
Pricesmart (PSMT) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Pricesmart reported Capital Expenditures of $200.62 million, up 56.4% year-over-year; for FY2025 (ended Aug 31, 2025), it was $158.13 million, down 6.2% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $168.55 million in FY2024 (+18.3%), $142.51 million in FY2023 (+18.1%), $120.66 million in FY2022 (+6.6%) and $113.17 million in FY2021 (+12.8%).
- The five-year range for quarterly Capital Expenditures is $22.1 million (fiscal Q4 2022) to $70.18 million (fiscal Q2 2024).
- Year-over-year, Capital Expenditures has increased for five consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2021 (growth of 275.5%), and the weakest in fiscal Q2 2025 (a decline of 50.7%).
- Business Quant data shows PSMT's Capital Expenditures at $49.74 million (Q2 2026), $38.61 million (Q1 2026) and $56.55 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 7.50 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 2.21 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 239.00 Mn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 406.85 Mn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 194.40 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 246.30 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 76.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 233.10 Mn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn | 55.73 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 55.73 Mn |
| Feb 28, 2026 | 49.74 Mn |
| Nov 30, 2025 | 38.61 Mn |
| Aug 31, 2025 | 56.55 Mn |
| May 31, 2025 | 38.77 Mn |
| Feb 28, 2025 | 34.63 Mn |
| Nov 30, 2024 | 28.18 Mn |
| Aug 31, 2024 | 26.67 Mn |
| May 31, 2024 | 38.40 Mn |
| Feb 29, 2024 | 70.18 Mn |
| Nov 30, 2023 | 33.30 Mn |
| Aug 31, 2023 | 45.95 Mn |
| May 31, 2023 | 43.54 Mn |
| Feb 28, 2023 | 29.07 Mn |
| Nov 30, 2022 | 23.94 Mn |
| Aug 31, 2022 | 22.10 Mn |
| May 31, 2022 | 38.09 Mn |
| Feb 28, 2022 | 30.74 Mn |
| Nov 30, 2021 | 29.73 Mn |
| Aug 31, 2021 | 39.82 Mn |
Pricesmart Capital Expenditures 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=capital-expenditures&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();