GameStop (GME) Total Liabilities (2009 - 2026)
GameStop's Total Liabilities was $5 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.1% from $5.16 billion a year earlier and down 2.5% from the prior quarter.
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Analysis
GameStop (GME) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at GameStop came in at $4.94 billion, up 422.8% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $945.6 million in FY2025 (-31.0%), $1.37 billion in FY2024 (-23.5%), $1.79 billion in FY2023 (-5.6%) and $1.9 billion in FY2022 (-6.8%).
- Quarterly Total Liabilities has moved between $945.6 million (fiscal Q4 2025) and $5.25 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 147.4%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2026 (growth of 422.8%); the worst was fiscal Q4 2025 (a decline of 31.0%).
- Per Business Quant data, GME's Total Liabilities in the three fiscal quarters before Q2 2027 was $5.13 billion (Q1 2027), $4.94 billion (Q4 2026) and $5.25 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 9.41 Bn |
| 10 | GameStop | 12.02 Bn | -19.25 Bn | 345.00 Mn | 5.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.00 Bn |
| May 2, 2026 | 5.13 Bn |
| Jan 31, 2026 | 4.94 Bn |
| Nov 1, 2025 | 5.25 Bn |
| Aug 2, 2025 | 5.16 Bn |
| May 3, 2025 | 2.52 Bn |
| Feb 1, 2025 | 945.60 Mn |
| Nov 2, 2024 | 1.44 Bn |
| Aug 3, 2024 | 1.15 Bn |
| May 4, 2024 | 1.28 Bn |
| Feb 3, 2024 | 1.37 Bn |
| Oct 28, 2023 | 1.88 Bn |
| Jul 29, 2023 | 1.54 Bn |
| Apr 29, 2023 | 1.80 Bn |
| Jan 28, 2023 | 1.79 Bn |
| Oct 29, 2022 | 2.08 Bn |
| Jul 30, 2022 | 1.46 Bn |
| Apr 30, 2022 | 1.67 Bn |
| Jan 29, 2022 | 1.90 Bn |
| Oct 30, 2021 | 2.01 Bn |
API Access
GameStop 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=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();