Pricesmart (PSMT) Accumulated Expenses (2010 - 2015)
Pricesmart (PSMT) recorded Accumulated Expenses of $23.45 million in fiscal Q1 2016 (quarter ended Nov 30, 2015), down 6.4% from $25.05 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Pricesmart (PSMT) Accumulated Expenses (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Aug 31, 2015), Pricesmart reported Accumulated Expenses of $23.56 million, up 12.0% from FY2014.
- Annual Accumulated Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 14.3% (FY2010 to FY2015).
- Across earlier fiscal years, Accumulated Expenses came in at $21.03 million in FY2014 (+4.4%), $20.14 million in FY2013 (+15.0%), $17.52 million in FY2012 (+39.5%) and $12.56 million in FY2011 (+3.8%).
- Quarterly Accumulated Expenses has ranged from $10.87 million in fiscal Q3 2011 to $27.92 million in fiscal Q3 2015 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 16.7%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 49.3% in fiscal Q3 2015, against a decline of 6.4% in fiscal Q1 2016 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23.56 million (Q4 2015), $27.92 million (Q3 2015) and $22.19 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2015 | 23.45 Mn |
| Aug 31, 2015 | 23.56 Mn |
| May 31, 2015 | 27.92 Mn |
| Feb 28, 2015 | 22.19 Mn |
| Nov 30, 2014 | 25.05 Mn |
| Aug 31, 2014 | 21.03 Mn |
| May 31, 2014 | 18.70 Mn |
| Feb 28, 2014 | 18.12 Mn |
| Nov 30, 2013 | 17.65 Mn |
| Aug 31, 2013 | 20.14 Mn |
| May 31, 2013 | 18.88 Mn |
| Feb 28, 2013 | 16.37 Mn |
| Nov 30, 2012 | 13.83 Mn |
| Aug 31, 2012 | 17.52 Mn |
| May 31, 2012 | 13.97 Mn |
| Feb 29, 2012 | 11.57 Mn |
| Nov 30, 2011 | 10.91 Mn |
| Aug 31, 2011 | 12.56 Mn |
| May 31, 2011 | 10.87 Mn |
| Aug 31, 2010 | 12.10 Mn |
API Access
Pricesmart Accumulated 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=accumulated-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();