GameStop (GME) Total Non-Current Liabilities (2009 - 2026)
GameStop's Total Non-Current Liabilities was $4.93 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.1% from $5.15 billion a year earlier and down 3.6% from the prior quarter.
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Analysis
GameStop (GME) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q4 2009 onward, GameStop has reported Total Non-Current Liabilities for 71 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 19.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $921.5 million in FY2025 (-31.2%), $1.34 billion in FY2024 (-23.5%), $1.75 billion in FY2023 (-2.2%) and $1.79 billion in FY2022 (-11.2%).
- Quarterly Total Non-Current Liabilities has moved between $921.5 million (fiscal Q4 2025) and $5.23 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 151.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2026 (growth of 434.9%); the worst was fiscal Q4 2025 (a decline of 31.2%).
- Per Business Quant data, GME's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $5.12 billion (Q1 2027), $4.93 billion (Q4 2026) and $5.23 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,810.17 Bn | 2,326.87 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 311.79 Bn | 305.03 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 162.08 Bn | 139.62 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.73 Bn | 102.70 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.23 Bn | 58.15 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.58 Bn | 72.67 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.89 Bn | 64.48 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 51.64 Bn | 50.54 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 43.32 Bn | 33.81 Bn | 1.38 Bn | 5.05 Bn |
| 10 | GameStop | 11.96 Bn | -19.31 Bn | 345.00 Mn | 4.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.93 Bn |
| May 2, 2026 | 5.12 Bn |
| Jan 31, 2026 | 4.93 Bn |
| Nov 1, 2025 | 5.23 Bn |
| Aug 2, 2025 | 5.15 Bn |
| May 3, 2025 | 2.50 Bn |
| Feb 1, 2025 | 921.50 Mn |
| Nov 2, 2024 | 1.39 Bn |
| Aug 3, 2024 | 1.13 Bn |
| May 4, 2024 | 1.25 Bn |
| Feb 3, 2024 | 1.34 Bn |
| Oct 28, 2023 | 1.85 Bn |
| Jul 29, 2023 | 1.50 Bn |
| Apr 29, 2023 | 1.76 Bn |
| Jan 28, 2023 | 1.75 Bn |
| Oct 29, 2022 | 1.97 Bn |
| Jul 30, 2022 | 1.33 Bn |
| Apr 30, 2022 | 1.54 Bn |
| Jan 29, 2022 | 1.79 Bn |
| Oct 30, 2021 | 1.99 Bn |
API Access
GameStop Total Non-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-non-current-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();