GameStop (GME) Non-Current Assets (2009 - 2026)
GameStop (GME) reported Non-Current Assets of $5.22 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 478.2% from $902.7 million a year earlier.
GameStop (GME) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop posted Non-Current Assets of $376.8 million, down 27.6% from FY2025.
- Non-Current Assets has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -16.4% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $520.4 million in FY2025 (-29.2%), $734.8 million in FY2024 (-7.0%), $789.7 million in FY2023 (-12.3%) and $900.5 million in FY2022 (-2.3%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- Year over year, Non-Current Assets gained in three of the last eight quarters, with growth averaging 51.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q2 2027 (growth of 478.2%); the low point was fiscal Q1 2026 (a decline of 43.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $305.8 million (Q1 2027), $376.8 million (Q4 2026) and $862.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,809.74 Bn | 2,326.44 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 313.16 Bn | 306.40 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 161.69 Bn | 139.23 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 109.95 Bn | 102.91 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.60 Bn | 57.52 Bn | 2.12 Bn | 8.11 Bn |
| 6 | O Reilly Automotive | 73.81 Bn | 72.90 Bn | 2.52 Bn | 10.19 Bn |
| 7 | Target | 69.70 Bn | 64.29 Bn | 8.94 Bn | 40.31 Bn |
| 8 | Autozone | 51.85 Bn | 50.75 Bn | 2.52 Bn | 11.98 Bn |
| 9 | Carvana | 44.02 Bn | 34.51 Bn | 1.38 Bn | 6.55 Bn |
| 10 | GameStop | 11.92 Bn | -19.35 Bn | 345.00 Mn | 5.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.22 Bn |
| May 2, 2026 | 305.80 Mn |
| Jan 31, 2026 | 376.80 Mn |
| Nov 1, 2025 | 862.40 Mn |
| Aug 2, 2025 | 902.70 Mn |
| May 3, 2025 | 395.90 Mn |
| Feb 1, 2025 | 520.40 Mn |
| Nov 2, 2024 | 616.90 Mn |
| Aug 3, 2024 | 650.30 Mn |
| May 4, 2024 | 698.00 Mn |
| Feb 3, 2024 | 734.80 Mn |
| Oct 28, 2023 | 770.10 Mn |
| Jul 29, 2023 | 798.50 Mn |
| Apr 29, 2023 | 815.60 Mn |
| Jan 28, 2023 | 789.70 Mn |
| Oct 29, 2022 | 740.70 Mn |
| Jul 30, 2022 | 780.30 Mn |
| Apr 30, 2022 | 795.90 Mn |
| Jan 29, 2022 | 900.50 Mn |
| Oct 30, 2021 | 848.90 Mn |
GameStop Non-Current Assets 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=non-current-assets&ticker=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();