GameStop (GME) Total Current Liabilities (2009 - 2026)
GameStop (GME) posted Total Current Liabilities of $679.7 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 18.1% from $829.9 million a year earlier and down 21.0% from the prior quarter.
GameStop (GME) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop's Total Current Liabilities came in at $654.5 million, down 1.6% from FY2025.
- Annual Total Current Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -13.4% (FY2021 to FY2026).
- In prior fiscal years, GameStop's Total Current Liabilities was $665.4 million in FY2025 (-28.8%), $934.5 million in FY2024 (-30.2%), $1.34 billion in FY2023 (-1.2%) and $1.35 billion in FY2022 (+0.9%).
- Quarterly Total Current Liabilities has run from a low of $654.5 million in fiscal Q4 2026 to a high of $1.59 billion in fiscal Q3 2023 over five years.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 10.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q1 2024, with growth of 17.1%; the weakest was fiscal Q1 2025, with a decline of 35.7%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $860.3 million (Q1 2027), $654.5 million (Q4 2026) and $932.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 2.04 Bn |
| 10 | GameStop | 12.02 Bn | -19.25 Bn | 345.00 Mn | 679.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 679.70 Mn |
| May 2, 2026 | 860.30 Mn |
| Jan 31, 2026 | 654.50 Mn |
| Nov 1, 2025 | 932.40 Mn |
| Aug 2, 2025 | 829.90 Mn |
| May 3, 2025 | 847.30 Mn |
| Feb 1, 2025 | 665.40 Mn |
| Nov 2, 2024 | 1.10 Bn |
| Aug 3, 2024 | 783.50 Mn |
| May 4, 2024 | 848.30 Mn |
| Feb 3, 2024 | 934.50 Mn |
| Oct 28, 2023 | 1.44 Bn |
| Jul 29, 2023 | 1.07 Bn |
| Apr 29, 2023 | 1.32 Bn |
| Jan 28, 2023 | 1.34 Bn |
| Oct 29, 2022 | 1.59 Bn |
| Jul 30, 2022 | 932.40 Mn |
| Apr 30, 2022 | 1.13 Bn |
| Jan 29, 2022 | 1.35 Bn |
| Oct 30, 2021 | 1.53 Bn |
GameStop 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=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "GME", "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=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();