GPO Plus (GPOX) Selling, General & Administrative (2016 - 2026)
GPO Plus' Selling, General & Administrative was $571,230 in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 30.0% from $439,504 a year earlier but down 13.3% from the prior quarter.
GPO Plus (GPOX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Selling, General & Administrative at GPO Plus came in at $2.39 million, up 31.5% from FY2025.
- Selling, General & Administrative has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 61.6% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $1.82 million in FY2025 (+14.5%), $1.59 million in FY2024 (+169.3%), $590,088 in FY2023 (+76.7%) and $333,961 in FY2022 (+53.8%).
- Quarterly Selling, General & Administrative has moved between -$48,530 (fiscal Q4 2022) and $659,045 (fiscal Q3 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 24.9% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q1 2024 (growth of 713.1%); the worst was fiscal Q2 2023 (a decline of 62.9%).
- Per Business Quant data, GPOX's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $659,045 (Q3 2026), $622,196 (Q2 2026) and $541,289 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 1.02 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 571,230.00 |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 31, 2021 | 99,012.00 |
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_KEY
import 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();