GPO Plus (GPOX) Enterprise Value (2017 - 2026)
GPO Plus' Enterprise Value was $4.17 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.5% from $5.05 million a year earlier and down 29.9% from the prior quarter.
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Analysis
GPO Plus (GPOX) Enterprise Value (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, GPO Plus' Enterprise Value was $4.1 million through Jul 31, 2026, down 12.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $4.94 million, down 31.5% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of -19.4% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $7.2 million in FY2025 (+53.7%), $4.69 million in FY2024 (-25.1%), $6.26 million in FY2023 (-47.7%) and $11.96 million in FY2022 (-17.5%).
- The fiscal Q1 2027 figure marks the lowest quarterly Enterprise Value since fiscal Q3 2025.
- Compared with a year earlier, Enterprise Value was higher in four of the last eight quarters, with growth averaging 30.8%.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q2 2022 (growth of 261.5%); the worst was fiscal Q1 2023 (a decline of 83.8%).
- Per Business Quant data, GPOX's Enterprise Value in the three fiscal quarters before Q1 2027 was $5.94 million (Q4 2026), $7.09 million (Q3 2026) and $6.49 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn |
| 10 | GPO Plus | 548,004.10 | 428,490.10 | 298,163.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.17 Mn |
| Apr 30, 2026 | 5.94 Mn |
| Jan 31, 2026 | 7.09 Mn |
| Oct 31, 2025 | 6.49 Mn |
| Jul 31, 2025 | 5.05 Mn |
| Apr 30, 2025 | 9.07 Mn |
| Jan 31, 2025 | 2.30 Mn |
| Oct 31, 2024 | 3.44 Mn |
| Jul 31, 2024 | 4.54 Mn |
| Apr 30, 2024 | 4.69 Mn |
| Jan 31, 2024 | 5.77 Mn |
| Oct 31, 2023 | 6.10 Mn |
| Jul 31, 2023 | 6.36 Mn |
| Apr 30, 2023 | 6.26 Mn |
| Jan 31, 2023 | 7.30 Mn |
| Oct 31, 2022 | 19.36 Mn |
| Jul 31, 2022 | 5.49 Mn |
| Apr 30, 2022 | 11.96 Mn |
| Jan 31, 2022 | 14.74 Mn |
| Oct 31, 2021 | 36.37 Mn |
API Access
GPO Plus Enterprise Value 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=enterprise-value&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();