GPO Plus (GPOX) Total Liabilities (2016 - 2026)
GPO Plus (GPOX) reported Total Liabilities of $8.81 million for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 9.1% from $8.08 million a year earlier but down 0.8% from the prior quarter.
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Analysis
GPO Plus (GPOX) Total Liabilities (2016 - 2026) Analysis & Trends
Dating back to fiscal Q2 2017, GPO Plus' Total Liabilities record includes 39 quarters.
- Total Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 81.4% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $8.08 million in FY2025 (+26.8%), $6.37 million in FY2024 (+43.1%), $4.45 million in FY2023 (+42.7%) and $3.12 million in FY2022 (+595.1%).
- Five-year quarterly Total Liabilities spans a low of $3.12 million in fiscal Q4 2022 and a high of $8.88 million in fiscal Q3 2026.
- Year over year, Total Liabilities has now increased in each of the last 14 quarters, with growth averaging 16.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 595.1%); the low point was fiscal Q2 2023 (a decline of 59.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $8.88 million (Q3 2026), $8.35 million (Q2 2026) and $7.96 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 938.09 Bn | 894.53 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 441.07 Bn | 364.35 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.34 Bn | 33.59 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.50 Bn | 24.65 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.40 Bn | 24.08 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.43 Bn | 23.43 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.90 Bn | 20.52 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.42 Bn | 22.22 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.08 Bn | 16.25 Bn | 1.68 Bn | 9.53 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 8.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 8.81 Mn |
| Jan 31, 2026 | 8.88 Mn |
| Oct 31, 2025 | 8.35 Mn |
| Jul 31, 2025 | 7.96 Mn |
| Apr 30, 2025 | 8.08 Mn |
| Jan 31, 2025 | 7.13 Mn |
| Oct 31, 2024 | 6.97 Mn |
| Jul 31, 2024 | 6.70 Mn |
| Apr 30, 2024 | 6.37 Mn |
| Jan 31, 2024 | 6.98 Mn |
| Oct 31, 2023 | 5.96 Mn |
| Jul 31, 2023 | 5.78 Mn |
| Apr 30, 2023 | 4.45 Mn |
| Jan 31, 2023 | 3.61 Mn |
| Oct 31, 2022 | 3.32 Mn |
| Jul 31, 2022 | 3.27 Mn |
| Apr 30, 2022 | 3.12 Mn |
| Jan 31, 2022 | 3.43 Mn |
| Oct 31, 2021 | 8.24 Mn |
| Jul 31, 2021 | 5.84 Mn |
API Access
GPO Plus Total Liabilities 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=total-liabilities&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();