Pricesmart (PSMT) Price to Book (2010 - 2026)
Pricesmart's (PSMT) Price to Book stood at 3.77 in fiscal Q3 2026 (quarter ended May 31, 2026), up 37.8% from 2.73 a year earlier and up 5.1% from the prior quarter.
Pricesmart (PSMT) Price to Book (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pricesmart's Price to Book came in at 2.64, up 8.2% from FY2024.
- Annual Price to Book has increased for three straight fiscal years.
- Across earlier fiscal years, Price to Book came in at 2.44 in FY2024 (+9.9%), 2.22 in FY2023 (+12.7%), 1.97 in FY2022 (-30.5%) and 2.84 in FY2021 (+17.3%).
- The fiscal Q3 2026 figure is the highest quarterly Price to Book since fiscal Q3 2017.
- On a year-over-year basis, Price to Book has increased for five consecutive quarters, with growth averaging 21.5% over the last eight quarters.
- Peak year-over-year performance for Price to Book in the last five years was growth of 52.8% in fiscal Q2 2026, against a decline of 30.6% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 3.58 (Q2 2026), 2.91 (Q1 2026) and 2.64 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn |
| 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 |
| 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 |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.18 Bn | 3.92 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.77 |
| Feb 28, 2026 | 3.58 |
| Nov 30, 2025 | 2.91 |
| Aug 31, 2025 | 2.64 |
| May 31, 2025 | 2.73 |
| Feb 28, 2025 | 2.34 |
| Nov 30, 2024 | 2.38 |
| Aug 31, 2024 | 2.44 |
| May 31, 2024 | 2.35 |
| Feb 29, 2024 | 2.36 |
| Nov 30, 2023 | 1.90 |
| Aug 31, 2023 | 2.22 |
| May 31, 2023 | 2.07 |
| Feb 28, 2023 | 2.07 |
| Nov 30, 2022 | 2.15 |
| Aug 31, 2022 | 1.97 |
| May 31, 2022 | 2.51 |
| Feb 28, 2022 | 2.35 |
| Nov 30, 2021 | 2.35 |
| Aug 31, 2021 | 2.84 |
Pricesmart Price to Book 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=price-to-book&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();