GameStop (GME) Accumulated Expenses (2009 - 2026)
GameStop (GME) reported Accumulated Expenses of $385.1 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 35.7% from $283.8 million a year earlier and up 3.4% from the prior quarter.
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Analysis
GameStop (GME) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop posted Accumulated Expenses of $283.8 million, down 21.6% from FY2025.
- Accumulated Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -14.7% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $362.2 million in FY2025 (-12.1%), $412 million in FY2024 (-31.6%), $602.3 million in FY2023 (-10.0%) and $668.9 million in FY2022 (+6.7%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Accumulated Expenses since fiscal Q3 2025.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 7.0%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2027 (growth of 35.7%); the low point was fiscal Q3 2026 (a decline of 36.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $372.5 million (Q1 2027), $283.8 million (Q4 2026) and $277.2 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | GameStop | 11.32 Bn | -19.95 Bn | 345.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 385.10 Mn |
| May 2, 2026 | 372.50 Mn |
| Jan 31, 2026 | 283.80 Mn |
| Nov 1, 2025 | 277.20 Mn |
| Aug 2, 2025 | 283.80 Mn |
| May 3, 2025 | 328.40 Mn |
| Feb 1, 2025 | 362.20 Mn |
| Nov 2, 2024 | 437.00 Mn |
| Aug 3, 2024 | 377.80 Mn |
| May 4, 2024 | 377.10 Mn |
| Feb 3, 2024 | 412.00 Mn |
| Oct 28, 2023 | 425.70 Mn |
| Jul 29, 2023 | 487.50 Mn |
| Apr 29, 2023 | 546.40 Mn |
| Jan 28, 2023 | 602.30 Mn |
| Oct 29, 2022 | 504.20 Mn |
| Jul 30, 2022 | 512.10 Mn |
| Apr 30, 2022 | 533.30 Mn |
| Jan 29, 2022 | 668.90 Mn |
| Oct 30, 2021 | 608.50 Mn |
API Access
GameStop Accumulated Expenses 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=accumulated-expenses&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();