GameStop (GME) Change in Inventory (2009 - 2026)
GameStop's Change in Inventory was $19.2 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 73.4% from $72.1 million a year earlier but up 15.7% from the prior quarter.
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Analysis
GameStop (GME) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, GameStop's Change in Inventory was -$59 million through Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was -$12.6 million.
- In earlier fiscal years, Change in Inventory was -$94.5 million in FY2025, -$39.9 million in FY2024, -$229.6 million in FY2023 and $329.6 million in FY2022.
- Quarterly Change in Inventory has moved between -$474.6 million (fiscal Q4 2023) and $546.4 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Change in Inventory was higher in 1 of the last five quarters, with an average decline of 32.0%.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q1 2024 (growth of 739.4%); the worst was fiscal Q1 2026 (a decline of 76.6%).
- Per Business Quant data, GME's Change in Inventory in the three fiscal quarters before Q2 2027 was $16.6 million (Q1 2027), -$229.2 million (Q4 2026) and $134.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 586.00 Mn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn | 19.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 19.20 Mn |
| May 2, 2026 | 16.60 Mn |
| Jan 31, 2026 | -229.20 Mn |
| Nov 1, 2025 | 134.40 Mn |
| Aug 2, 2025 | 72.10 Mn |
| May 3, 2025 | 10.10 Mn |
| Feb 1, 2025 | -293.10 Mn |
| Nov 2, 2024 | 271.30 Mn |
| Aug 3, 2024 | -115.90 Mn |
| May 4, 2024 | 43.20 Mn |
| Feb 3, 2024 | -397.00 Mn |
| Oct 28, 2023 | 357.50 Mn |
| Jul 29, 2023 | -83.50 Mn |
| Apr 29, 2023 | 83.10 Mn |
| Jan 28, 2023 | -474.60 Mn |
| Oct 29, 2022 | 414.60 Mn |
| Jul 30, 2022 | -179.50 Mn |
| Apr 30, 2022 | 9.90 Mn |
| Jan 29, 2022 | -215.60 Mn |
| Oct 30, 2021 | 546.40 Mn |
API Access
GameStop Change in 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=change-in-inventory&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();