GameStop (GME) Operating Expenses (2009 - 2026)
GameStop (GME) posted Operating Expenses of $187.1 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 14.5% from $218.8 million a year earlier and down 7.2% from the prior quarter.
GameStop (GME) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Operating Expenses at GameStop was $852 million, down 15.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $910.2 million, down 19.5% from FY2025.
- Annual Operating Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -9.7% (FY2021 to FY2026).
- In prior fiscal years, GameStop's Operating Expenses was $1.13 billion in FY2025 (-14.6%), $1.32 billion in FY2024 (-21.2%), $1.68 billion in FY2023 (-1.7%) and $1.71 billion in FY2022 (+12.9%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Operating Expenses has declined in each of the last 16 quarters, with an average decline of 16.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 28.6%; the weakest was fiscal Q3 2024, with a decline of 23.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $201.6 million (Q1 2027), $241.9 million (Q4 2026) and $221.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 704.00 Mn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn | 187.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 187.10 Mn |
| May 2, 2026 | 201.60 Mn |
| Jan 31, 2026 | 241.90 Mn |
| Nov 1, 2025 | 221.40 Mn |
| Aug 2, 2025 | 218.80 Mn |
| May 3, 2025 | 228.10 Mn |
| Feb 1, 2025 | 282.50 Mn |
| Nov 2, 2024 | 282.00 Mn |
| Aug 3, 2024 | 270.80 Mn |
| May 4, 2024 | 295.10 Mn |
| Feb 3, 2024 | 359.20 Mn |
| Oct 28, 2023 | 296.50 Mn |
| Jul 29, 2023 | 322.50 Mn |
| Apr 29, 2023 | 345.70 Mn |
| Jan 28, 2023 | 453.40 Mn |
| Oct 29, 2022 | 387.90 Mn |
| Jul 30, 2022 | 387.50 Mn |
| Apr 30, 2022 | 452.20 Mn |
| Jan 29, 2022 | 538.90 Mn |
| Oct 30, 2021 | 421.50 Mn |
GameStop Operating 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=operating-expenses&ticker=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();