Pricesmart (PSMT) Goodwill (2010 - 2026)
Pricesmart's Goodwill came in at $43.3 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 0.1% from $43.24 million a year earlier and unchanged from the prior quarter.
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Analysis
Pricesmart (PSMT) Goodwill (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Pricesmart's Goodwill data covers 63 quarters.
- Goodwill has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- Going back by fiscal year, Goodwill was $43.24 million in FY2025 (+0.1%), $43.2 million in FY2024 (+0.2%), $43.11 million in FY2023 (-0.4%) and $43.3 million in FY2022 (-4.0%).
- The five-year range for quarterly Goodwill is $43.11 million (fiscal Q4 2023) to $43.35 million (fiscal Q3 2022).
- Year-over-year, Goodwill has increased for ten consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Goodwill over five years came in fiscal Q4 2024 (growth of 0.2%), and the weakest in fiscal Q2 2022 (a decline of 4.0%).
- Business Quant data shows PSMT's Goodwill at $43.3 million (Q3 2026), $43.3 million (Q2 2026) and $43.24 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 994.93 Bn | 951.36 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 469.19 Bn | 392.47 Bn | 12.19 Bn |
| 3 | Kroger | 40.97 Bn | 27.12 Bn | 7.86 Bn |
| 4 | Sysco | 37.67 Bn | 29.59 Bn | 4.05 Bn |
| 5 | Dollar General | 30.16 Bn | 24.84 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.12 Bn | 22.74 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.38 Bn | 23.38 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.73 Bn | 23.53 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.60 Bn | 18.75 Bn | 1.42 Bn |
| 10 | Pricesmart | 5.01 Bn | 3.73 Bn | 266.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 43.30 Mn |
| 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 | 43.17 Mn |
| Aug 31, 2022 | 43.30 Mn |
| May 31, 2022 | 43.35 Mn |
| Feb 28, 2022 | 43.33 Mn |
| Nov 30, 2021 | 43.33 Mn |
API Access
Pricesmart Goodwill 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&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();