GPO Plus (GPOX) Depreciation and Depletion (2017 - 2026)
GPO Plus' Depreciation and Depletion was $974.00 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 89.4% from $9,152 a year earlier and down 0.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, GPO Plus' Depreciation and Depletion was $20,062 through Jul 31, 2026, down 55.0% year-over-year; for FY2026 (ended Apr 30, 2026), it was $28,240, down 41.4% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 126.1% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $48,165 in FY2025 (+60.7%), $29,980 in FY2024 (+315.7%), $7,212 in FY2023 (+531.0%) and $1,143 in FY2022 (+139.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q3 2023.
- Compared with a year earlier, Depreciation and Depletion has declined for five straight quarters, with an average decline of 12.4% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q1 2025 (growth of 100.2%); the worst was fiscal Q4 2026 (a decline of 90.2%).
- Per Business Quant data, GPOX's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $975.00 (Q4 2026), $9,057 (Q3 2026) and $9,056 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | - |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | - |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | - |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 109.00 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | - |
| 10 | GPO Plus | 966,587.63 | 2.76 Mn | 298,163.00 | 974.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 974.00 |
| Apr 30, 2026 | 975.00 |
| Jan 31, 2026 | 9,057.00 |
| Oct 31, 2025 | 9,056.00 |
| Jul 31, 2025 | 9,152.00 |
| Apr 30, 2025 | 9,997.00 |
| Jan 31, 2025 | 12,722.00 |
| Oct 31, 2024 | 12,723.00 |
| Jul 31, 2024 | 12,723.00 |
| Apr 30, 2024 | 9,330.00 |
| Jan 31, 2024 | 7,805.00 |
| Oct 31, 2023 | 6,491.00 |
| Jul 31, 2023 | 6,354.00 |
| Apr 30, 2023 | 6,354.00 |
| Jan 31, 2023 | 286.00 |
| Oct 31, 2022 | 286.00 |
| Jul 31, 2022 | 286.00 |
| Apr 30, 2022 | 285.00 |
| Jan 31, 2022 | 286.00 |
| Oct 31, 2021 | 287.00 |
API Access
GPO Plus Depreciation and Depletion 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=depreciation-and-depletion&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();