GPO Plus (GPOX) Total Current Liabilities (2017 - 2026)
GPO Plus (GPOX) recorded Total Current Liabilities of $7.28 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 27.1% from $5.73 million a year earlier and up 8.7% from the prior quarter.
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Analysis
GPO Plus (GPOX) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), GPO Plus reported Total Current Liabilities of $6.7 million, up 11.0% from FY2025.
- 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 Q1 2027 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 15 consecutive quarters, with growth averaging 24.4% 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 $6.7 million (Q4 2026), $6.69 million (Q3 2026) and $6.14 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | 18.42 Bn |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | 10.53 Bn |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 3.30 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 1.36 Bn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 4.05 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 3.07 Bn |
| 10 | GPO Plus | 548,004.10 | 428,490.10 | 298,163.00 | 7.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.28 Mn |
| 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 |
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();