Pricesmart (PSMT) Interest Expenses (2010 - 2026)
Pricesmart (PSMT) reported Interest Expenses of $3.85 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 39.4% from $2.76 million a year earlier but down 2.8% from the prior quarter.
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Analysis
Pricesmart (PSMT) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Interest Expenses came in at $15.75 million, up 39.8% year-over-year; for FY2025 (ended Aug 31, 2025), it was $11.52 million, down 11.1% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- By fiscal year, Interest Expenses came in at $12.96 million in FY2024 (+17.6%), $11.02 million in FY2023 (+14.7%), $9.61 million in FY2022 (+33.3%) and $7.21 million in FY2021 (-5.4%).
- Five-year quarterly Interest Expenses spans a low of $1.35 million in fiscal Q4 2021 and a high of $4.42 million in fiscal Q1 2026.
- Year over year, Interest Expenses has now increased in each of the last four quarters, with growth averaging 17.2% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q4 2022 (growth of 106.0%); the low point was fiscal Q4 2021 (a decline of 46.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.96 million (Q2 2026), $4.42 million (Q1 2026) and $3.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 45.00 Mn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | - |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 3.00 Mn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 22.06 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 77.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Pricesmart | 5.18 Bn | 3.92 Bn | 262.22 Mn | 3.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.85 Mn |
| Feb 28, 2026 | 3.96 Mn |
| Nov 30, 2025 | 4.42 Mn |
| Aug 31, 2025 | 3.52 Mn |
| May 31, 2025 | 2.76 Mn |
| Feb 28, 2025 | 2.54 Mn |
| Nov 30, 2024 | 2.70 Mn |
| Aug 31, 2024 | 3.27 Mn |
| May 31, 2024 | 3.58 Mn |
| Feb 29, 2024 | 3.29 Mn |
| Nov 30, 2023 | 2.82 Mn |
| Aug 31, 2023 | 2.71 Mn |
| May 31, 2023 | 2.75 Mn |
| Feb 28, 2023 | 2.81 Mn |
| Nov 30, 2022 | 2.75 Mn |
| Aug 31, 2022 | 2.79 Mn |
| May 31, 2022 | 2.80 Mn |
| Feb 28, 2022 | 2.44 Mn |
| Nov 30, 2021 | 1.59 Mn |
| Aug 31, 2021 | 1.35 Mn |
API Access
Pricesmart Interest 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=interest-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();