GPO Plus (GPOX) Total Liabilities (2016 - 2026)
GPO Plus (GPOX) reported Total Liabilities of $9.36 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 17.6% from $7.96 million a year earlier and up 6.3% from the prior quarter.
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Analysis
GPO Plus (GPOX) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), GPO Plus posted Total Liabilities of $8.81 million, up 9.1% from FY2025.
- 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%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2016.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 17.0% 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 Q1 2027 came in at $8.81 million (Q4 2026), $8.88 million (Q3 2026) and $8.35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | 43.65 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 26.41 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 10.60 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 5.03 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 10.03 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 9.59 Bn |
| 10 | GPO Plus | 548,004.10 | 428,490.10 | 298,163.00 | 9.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.36 Mn |
| 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 |
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();