GPO Plus (GPOX) Selling, General & Administrative (2016 - 2026)
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Analysis
GPO Plus (GPOX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | - |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 1.43 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | - |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 1.50 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 984.29 Mn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 518,697.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 518,697.00 |
| Apr 30, 2026 | 571,230.00 |
| Jan 31, 2026 | 659,045.00 |
| Oct 31, 2025 | 622,196.00 |
| Jul 31, 2025 | 541,289.00 |
| Apr 30, 2025 | 439,504.00 |
| Jan 31, 2025 | 478,914.00 |
| Oct 31, 2024 | 435,328.00 |
| Jul 31, 2024 | 465,979.00 |
| Apr 30, 2024 | 483,838.00 |
| Jan 31, 2024 | 453,012.00 |
| Oct 31, 2023 | 321,033.00 |
| Jul 31, 2023 | 331,510.00 |
| Apr 30, 2023 | 295,841.00 |
| Jan 31, 2023 | 178,628.00 |
| Oct 31, 2022 | 74,848.00 |
| Jul 31, 2022 | 40,771.00 |
| Apr 30, 2022 | -48,530.00 |
| Jan 31, 2022 | 81,839.00 |
| Oct 31, 2021 | 201,640.00 |
API Access
GPO Plus Selling, General & Administrative 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=selling-general-and-administrative&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();