GPO Plus (GPOX) Revenue (2016 - 2026)
Analysis
GPO Plus (GPOX) Revenue (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 95.72 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 34.62 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 21.74 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 4.89 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 5.68 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 10.40 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 3.91 Bn |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.30 Mn |
| Apr 30, 2026 | 1.44 Mn |
| Jan 31, 2026 | 1.20 Mn |
| Oct 31, 2025 | 1.57 Mn |
| Jul 31, 2025 | 1.30 Mn |
| Apr 30, 2025 | 1.12 Mn |
| Jan 31, 2025 | 1.23 Mn |
| Oct 31, 2024 | 1.19 Mn |
| Jul 31, 2024 | 1.21 Mn |
| Apr 30, 2024 | 1.08 Mn |
| Jan 31, 2024 | 1.09 Mn |
| Oct 31, 2023 | 1.22 Mn |
| Jul 31, 2023 | 970,735.00 |
| Apr 30, 2023 | 466,575.00 |
| Jan 31, 2023 | 104,620.00 |
| Oct 31, 2022 | 64,658.00 |
| Jul 31, 2022 | 17,663.00 |
| Apr 30, 2022 | 167,009.00 |
| Jan 31, 2022 | 397,094.00 |
| Oct 31, 2021 | 229,161.00 |
API Access
GPO Plus Revenue 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=revenue&ticker=GPOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();