Pricesmart (PSMT) Pension (2015 - 2022)
Pricesmart (PSMT) reported Pension of $8.77 million for fiscal Q1 2023 (quarter ended Nov 30, 2022), up 15.4% from $7.6 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Pricesmart (PSMT) Pension (2015 - 2022) Analysis & Trends
At the end of FY2022 (ended Aug 31, 2022), Pricesmart posted Pension of $8.44 million, up 14.4% from FY2021.
- Pension has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2017 to FY2022).
- By fiscal year, Pension came in at $7.38 million in FY2021 (+19.9%), $6.16 million in FY2020 (+13.5%), $5.42 million in FY2019 (+15.0%) and $4.72 million in FY2018 (-6.7%).
- The fiscal Q1 2023 figure ranks as the highest quarterly Pension in data going back to fiscal Q4 2015.
- Year over year, Pension has now increased in each of the last 15 quarters, with growth averaging 15.2% over the last eight quarters.
- The high point for year-over-year Pension in five years was fiscal Q1 2022 (growth of 20.4%); the low point was fiscal Q2 2019 (a decline of 9.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2023 came in at $8.44 million (Q4 2022), $7.45 million (Q3 2022) and $7.73 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 946.96 Bn | 903.40 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 442.99 Bn | 366.27 Bn | 12.19 Bn |
| 3 | Sysco | 39.27 Bn | 33.52 Bn | 4.13 Bn |
| 4 | Kroger | 38.72 Bn | 24.88 Bn | 7.86 Bn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.01 Bn | 24.00 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.79 Bn | 20.41 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.15 Bn | 21.95 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.29 Bn | 16.45 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.21 Bn | 3.95 Bn | 262.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2022 | 8.77 Mn |
| Aug 31, 2022 | 8.44 Mn |
| May 31, 2022 | 7.45 Mn |
| Feb 28, 2022 | 7.73 Mn |
| Nov 30, 2021 | 7.60 Mn |
| Aug 31, 2021 | 7.38 Mn |
| May 31, 2021 | 6.67 Mn |
| Feb 28, 2021 | 6.52 Mn |
| Nov 30, 2020 | 6.31 Mn |
| Aug 31, 2020 | 6.16 Mn |
| May 31, 2020 | 6.10 Mn |
| Feb 29, 2020 | 5.83 Mn |
| Nov 30, 2019 | 5.68 Mn |
| Aug 31, 2019 | 5.42 Mn |
| May 31, 2019 | 5.38 Mn |
| Feb 28, 2019 | 5.15 Mn |
| Nov 30, 2018 | 4.96 Mn |
| Aug 31, 2018 | 4.72 Mn |
| May 31, 2018 | 5.12 Mn |
| Feb 28, 2018 | 5.69 Mn |
API Access
Pricesmart Pension 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=pension&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();