GameStop (GME) Cost of Revenue (2009 - 2026)
GameStop (GME) posted Cost of Revenue of $445.2 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 35.4% from $689.1 million a year earlier and down 10.1% from the prior quarter.
GameStop (GME) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Cost of Revenue at GameStop was $2.21 billion, down 18.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.43 billion, down 10.2% from FY2025.
- Annual Cost of Revenue has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -8.7% (FY2021 to FY2026).
- In prior fiscal years, GameStop's Cost of Revenue was $2.71 billion in FY2025 (-31.9%), $3.98 billion in FY2024 (-12.7%), $4.56 billion in FY2023 (-2.3%) and $4.66 billion in FY2022 (+21.7%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Cost of Revenue in data going back to fiscal Q4 2009.
- On a year-over-year basis, Cost of Revenue increased in two of the last eight quarters, with an average decline of 15.0%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2022, with growth of 34.3%; the weakest was fiscal Q2 2025, with a decline of 35.9%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $495 million (Q1 2027), $717.5 million (Q4 2026) and $547.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 2.32 Bn |
| 10 | GameStop | 11.15 Bn | -20.12 Bn | 345.00 Mn | 445.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 445.20 Mn |
| May 2, 2026 | 495.00 Mn |
| Jan 31, 2026 | 717.50 Mn |
| Nov 1, 2025 | 547.60 Mn |
| Aug 2, 2025 | 689.10 Mn |
| May 3, 2025 | 479.60 Mn |
| Feb 1, 2025 | 919.20 Mn |
| Nov 2, 2024 | 603.10 Mn |
| Aug 3, 2024 | 549.50 Mn |
| May 4, 2024 | 637.30 Mn |
| Feb 3, 2024 | 1.37 Bn |
| Oct 28, 2023 | 796.50 Mn |
| Jul 29, 2023 | 857.90 Mn |
| Apr 29, 2023 | 949.80 Mn |
| Jan 28, 2023 | 1.73 Bn |
| Oct 29, 2022 | 894.80 Mn |
| Jul 30, 2022 | 853.80 Mn |
| Apr 30, 2022 | 1.08 Bn |
| Jan 29, 2022 | 1.88 Bn |
| Oct 30, 2021 | 978.00 Mn |
GameStop Cost of Revenue 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=cost-of-revenue&ticker=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();