Pricesmart (PSMT) Goodwill & Intangibles (2010 - 2026)
Pricesmart (PSMT) recorded Goodwill & Intangibles of $43.3 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 0.2% from $43.23 million a year earlier and unchanged from the prior quarter.
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Analysis
Pricesmart (PSMT) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart reported Goodwill & Intangibles of $43.24 million, up 0.1% from FY2024.
- Annual Goodwill & Intangibles has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Goodwill & Intangibles came in at $43.2 million in FY2024 (+0.2%), $43.11 million in FY2023 (-0.2%), $43.2 million in FY2022 (-18.3%) and $52.9 million in FY2021 (-4.5%).
- Quarterly Goodwill & Intangibles has ranged from $43.11 million in fiscal Q4 2023 to $52.9 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Goodwill & Intangibles has increased for nine consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 0.2% in fiscal Q4 2024, against a decline of 18.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $43.3 million (Q2 2026), $43.24 million (Q1 2026) and $43.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.30 Bn | 4.03 Bn | 262.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 43.30 Mn |
| Feb 28, 2026 | 43.30 Mn |
| Nov 30, 2025 | 43.24 Mn |
| Aug 31, 2025 | 43.24 Mn |
| May 31, 2025 | 43.23 Mn |
| Feb 28, 2025 | 43.22 Mn |
| Nov 30, 2024 | 43.22 Mn |
| Aug 31, 2024 | 43.20 Mn |
| May 31, 2024 | 43.18 Mn |
| Feb 29, 2024 | 43.13 Mn |
| Nov 30, 2023 | 43.14 Mn |
| Aug 31, 2023 | 43.11 Mn |
| May 31, 2023 | 43.15 Mn |
| Feb 28, 2023 | 43.19 Mn |
| Nov 30, 2022 | 43.30 Mn |
| Aug 31, 2022 | 43.20 Mn |
| May 31, 2022 | 44.50 Mn |
| Feb 28, 2022 | 44.90 Mn |
| Nov 30, 2021 | 45.30 Mn |
| Aug 31, 2021 | 52.90 Mn |
API Access
Pricesmart Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();