GPO Plus (GPOX) Accumulated Expenses (2021 - 2023)
GPO Plus' Accumulated Expenses was $218,874 in fiscal Q2 2024 (quarter ended Oct 31, 2023), up 268.0% from $59,476 a year earlier and up 34.2% from the prior quarter.
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Analysis
GPO Plus (GPOX) Accumulated Expenses (2021 - 2023) Analysis & Trends
At the end of FY2023 (ended Apr 30, 2023), Accumulated Expenses at GPO Plus came in at $119,488, up 281.7% from FY2022.
- In earlier fiscal years, Accumulated Expenses was $31,304 in FY2022.
- The fiscal Q2 2024 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q1 2022.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 308.1% over the last five quarters.
- Per Business Quant data, GPOX's Accumulated Expenses in the three fiscal quarters before Q2 2024 was $163,107 (Q1 2024), $119,488 (Q4 2023) and $85,967 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2023 | 218,874.00 |
| Jul 31, 2023 | 163,107.00 |
| Apr 30, 2023 | 119,488.00 |
| Jan 31, 2023 | 85,967.00 |
| Oct 31, 2022 | 59,476.00 |
| Jul 31, 2022 | 42,237.00 |
| Apr 30, 2022 | 31,304.00 |
| Jan 31, 2022 | 21,802.00 |
| Oct 31, 2021 | 11,654.00 |
| Jul 31, 2021 | 3,107.00 |
API Access
GPO Plus 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=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GPOX", "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=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();