GPO Plus (GPOX) EPS (Diluted) (2021 - 2026)
GPO Plus' EPS (Diluted) was -$0.01 in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$0.01 a year earlier.
GPO Plus (GPOX) EPS (Diluted) (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, GPO Plus' EPS (Diluted) was -$0.03 through Jul 31, 2026; for FY2026 (ended Apr 30, 2026), it came in at -$0.03.
- In earlier fiscal years, EPS (Diluted) was -$0.07 in FY2025 and -$0.11 in FY2024.
- Quarterly EPS (Diluted) has moved between -$0.05 (fiscal Q4 2025) and $0.00 (fiscal Q4 2026) over five years.
- Per Business Quant data, GPOX's EPS (Diluted) in the three fiscal quarters before Q1 2027 was $0.00 (Q4 2026), -$0.01 (Q3 2026) and -$0.01 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 6.75 |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 1.05 |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 1.09 |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 2.48 |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 2.70 |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 7.37 |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 1.00 |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 0.43 |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | -0.01 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -0.01 |
| Apr 30, 2026 | 0.00 |
| Jan 31, 2026 | -0.01 |
| Oct 31, 2025 | -0.01 |
| Jul 31, 2025 | -0.01 |
| Apr 30, 2025 | -0.05 |
| Jan 31, 2025 | -0.01 |
| Oct 31, 2024 | -0.01 |
| Jul 31, 2024 | -0.01 |
| Apr 30, 2024 | -0.04 |
| Jan 31, 2024 | -0.02 |
| Oct 31, 2023 | -0.10 |
| Jul 31, 2023 | -0.12 |
| Apr 30, 2023 | -0.14 |
| Jan 31, 2023 | -0.09 |
| Oct 31, 2022 | -0.14 |
| Jul 31, 2022 | -0.04 |
| Apr 30, 2022 | -0.06 |
| Jan 31, 2022 | -0.69 |
| Oct 31, 2021 | -0.32 |
GPO Plus EPS (Diluted) 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=eps-diluted&ticker=GPOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();