GPO Plus (GPOX) Property, Plant & Equipment (Net) (2017 - 2026)
GPO Plus (GPOX) recorded Property, Plant & Equipment (Net) of $55,229 in fiscal Q4 2026 (quarter ended Apr 30, 2026), down 43.0% from $96,968 a year earlier and down 1.7% from the prior quarter.
GPO Plus (GPOX) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, GPO Plus' Property, Plant & Equipment (Net) history includes 24 quarters.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 60.2% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $96,968 in FY2025 (-5.3%), $102,409 in FY2024 (+40.5%), $72,886 in FY2023 and $4,098 in FY2022 (-21.8%).
- The fiscal Q4 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for six consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 158.7% in fiscal Q1 2022, against a decline of 54.9% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $56,203 (Q3 2026), $65,259 (Q2 2026) and $74,316 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 34.29 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 5.97 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 25.27 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 3.22 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 55,229.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 55,229.00 |
| Jan 31, 2026 | 56,203.00 |
| Oct 31, 2025 | 65,259.00 |
| Jul 31, 2025 | 74,316.00 |
| Apr 30, 2025 | 96,968.00 |
| Jan 31, 2025 | 106,964.00 |
| Oct 31, 2024 | 144,837.00 |
| Jul 31, 2024 | 157,560.00 |
| Apr 30, 2024 | 102,409.00 |
| Jan 31, 2024 | 111,738.00 |
| Oct 31, 2023 | 88,041.00 |
| Jul 31, 2023 | 66,532.00 |
| Apr 30, 2023 | 72,886.00 |
| Jan 31, 2023 | 79,240.00 |
| Oct 31, 2022 | 3,526.00 |
| Jul 31, 2022 | 3,812.00 |
| Apr 30, 2022 | 4,098.00 |
| Jan 31, 2022 | 4,383.00 |
| Oct 31, 2021 | 4,669.00 |
| Jul 31, 2021 | 4,956.00 |
GPO Plus Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GPOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();