GPO Plus (GPOX) Total Current Liabilities (2017 - 2026)
GPO Plus (GPOX) recorded Total Current Liabilities of $6.7 million in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 11.0% from $6.04 million a year earlier and up 0.1% from the prior quarter.
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Analysis
GPO Plus (GPOX) Total Current Liabilities (2017 - 2026) Analysis & Trends
Starting with fiscal Q4 2017, GPO Plus' Total Current Liabilities history includes 36 quarters.
- Annual Total Current Liabilities has increased for five straight fiscal years, with a five-year compound annual growth rate of 97.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $6.04 million in FY2025 (+40.0%), $4.31 million in FY2024 (+80.3%), $2.39 million in FY2023 (+108.5%) and $1.15 million in FY2022 (+411.4%).
- The fiscal Q4 2026 figure is the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2017.
- On a year-over-year basis, Total Current Liabilities has increased for 14 consecutive quarters, with growth averaging 27.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 411.4% in fiscal Q4 2022, against a decline of 78.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.69 million (Q3 2026), $6.14 million (Q2 2026) and $5.73 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 42.13 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 3.19 Bn |
| 10 | GPO Plus | 1.15 Mn | 2.87 Mn | 345,265.00 | 6.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 6.70 Mn |
| Jan 31, 2026 | 6.69 Mn |
| Oct 31, 2025 | 6.14 Mn |
| Jul 31, 2025 | 5.73 Mn |
| Apr 30, 2025 | 6.04 Mn |
| Jan 31, 2025 | 5.07 Mn |
| Oct 31, 2024 | 4.93 Mn |
| Jul 31, 2024 | 4.65 Mn |
| Apr 30, 2024 | 4.31 Mn |
| Jan 31, 2024 | 4.90 Mn |
| Oct 31, 2023 | 3.69 Mn |
| Jul 31, 2023 | 3.10 Mn |
| Apr 30, 2023 | 2.39 Mn |
| Jan 31, 2023 | 1.64 Mn |
| Oct 31, 2022 | 1.35 Mn |
| Jul 31, 2022 | 1.29 Mn |
| Apr 30, 2022 | 1.15 Mn |
| Jan 31, 2022 | 1.45 Mn |
| Oct 31, 2021 | 6.27 Mn |
| Jul 31, 2021 | 3.87 Mn |
API Access
GPO Plus Total Current 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-current-liabilities&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();