GameStop (GME) Other Non-Current Liabilities (2009 - 2026)
GameStop's Other Non-Current Liabilities was $70.2 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 281.5% from $18.4 million a year earlier and up 394.4% from the prior quarter.
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Analysis
GameStop (GME) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Non-Current Liabilities at GameStop came in at $15.1 million, down 37.3% from FY2025.
- Other Non-Current Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -5.9% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $24.1 million in FY2025 (-23.7%), $31.6 million in FY2024 (-22.7%), $40.9 million in FY2023 (-62.1%) and $107.9 million in FY2022 (+426.3%).
- The fiscal Q2 2027 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q3 2023.
- Compared with a year earlier, Other Non-Current Liabilities was higher in two of the last eight quarters, with growth averaging 14.7%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q1 2023 (growth of 578.3%); the worst was fiscal Q3 2024 (a decline of 71.5%).
- Per Business Quant data, GME's Other Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $14.2 million (Q1 2027), $15.1 million (Q4 2026) and $18.1 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 70.20 Mn |
| May 2, 2026 | 14.20 Mn |
| Jan 31, 2026 | 15.10 Mn |
| Nov 1, 2025 | 18.10 Mn |
| Aug 2, 2025 | 18.40 Mn |
| May 3, 2025 | 19.40 Mn |
| Feb 1, 2025 | 24.10 Mn |
| Nov 2, 2024 | 41.10 Mn |
| Aug 3, 2024 | 21.10 Mn |
| May 4, 2024 | 31.30 Mn |
| Feb 3, 2024 | 31.60 Mn |
| Oct 28, 2023 | 31.50 Mn |
| Jul 29, 2023 | 35.80 Mn |
| Apr 29, 2023 | 40.30 Mn |
| Jan 28, 2023 | 40.90 Mn |
| Oct 29, 2022 | 110.40 Mn |
| Jul 30, 2022 | 124.10 Mn |
| Apr 30, 2022 | 137.70 Mn |
| Jan 29, 2022 | 107.90 Mn |
| Oct 30, 2021 | 19.30 Mn |
API Access
GameStop Other 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=other-non-current-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();