GameStop (GME) Inventory (2009 - 2026)
GameStop's Inventory came in at $439 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 9.5% from $484.9 million a year earlier but up 3.7% from the prior quarter.
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Analysis
GameStop (GME) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop's Inventory was $403.3 million, down 16.0% from FY2025.
- Inventory has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -7.7% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $480.2 million in FY2025 (-24.1%), $632.5 million in FY2024 (-7.4%), $682.9 million in FY2023 (-25.4%) and $915 million in FY2022 (+51.9%).
- The five-year range for quarterly Inventory is $403.3 million (fiscal Q4 2026) to $1.14 billion (fiscal Q3 2022).
- Year-over-year, Inventory increased in 1 of the last eight quarters, with an average decline of 18.7%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q1 2023 (growth of 60.7%), and the weakest in fiscal Q1 2026 (a decline of 37.7%).
- Business Quant data shows GME's Inventory at $423.3 million (Q1 2027), $403.3 million (Q4 2026) and $575.5 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 3.26 Bn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn | 439.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 439.00 Mn |
| May 2, 2026 | 423.30 Mn |
| Jan 31, 2026 | 403.30 Mn |
| Nov 1, 2025 | 575.50 Mn |
| Aug 2, 2025 | 484.90 Mn |
| May 3, 2025 | 421.30 Mn |
| Feb 1, 2025 | 480.20 Mn |
| Nov 2, 2024 | 830.20 Mn |
| Aug 3, 2024 | 560.00 Mn |
| May 4, 2024 | 675.80 Mn |
| Feb 3, 2024 | 632.50 Mn |
| Oct 28, 2023 | 1.02 Bn |
| Jul 29, 2023 | 676.90 Mn |
| Apr 29, 2023 | 759.50 Mn |
| Jan 28, 2023 | 682.90 Mn |
| Oct 29, 2022 | 1.13 Bn |
| Jul 30, 2022 | 734.80 Mn |
| Apr 30, 2022 | 917.60 Mn |
| Jan 29, 2022 | 915.00 Mn |
| Oct 30, 2021 | 1.14 Bn |
API Access
GameStop Inventory 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=inventory&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();