GameStop (GME) Cash & Equivalents (2009 - 2026)
GameStop (GME) posted Cash & Equivalents of $4.85 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 44.2% from $8.69 billion a year earlier and down 34.4% from the prior quarter.
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Analysis
GameStop (GME) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop's Cash & Equivalents came in at $6.3 billion, up 32.5% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 65.5% (FY2021 to FY2026).
- In prior fiscal years, GameStop's Cash & Equivalents was $4.76 billion in FY2025 (+416.1%), $921.7 million in FY2024 (-19.1%), $1.14 billion in FY2023 (-10.4%) and $1.27 billion in FY2022 (+150.0%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q4 2025.
- On a year-over-year basis, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 192.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2026, with growth of 538.6%; the weakest was fiscal Q2 2023, with a decline of 47.2%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $7.4 billion (Q1 2027), $6.3 billion (Q4 2026) and $7.84 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,675.56 Bn | 2,192.26 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 316.95 Bn | 310.19 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 160.25 Bn | 137.79 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.07 Bn | 104.03 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 75.04 Bn | 74.13 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.25 Bn | 56.17 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.35 Bn | 52.25 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 40.83 Bn | 31.32 Bn | 1.38 Bn | 2.63 Bn |
| 10 | GameStop | 11.31 Bn | -19.96 Bn | 345.00 Mn | 4.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.85 Bn |
| May 2, 2026 | 7.40 Bn |
| Jan 31, 2026 | 6.30 Bn |
| Nov 1, 2025 | 7.84 Bn |
| Aug 2, 2025 | 8.69 Bn |
| May 3, 2025 | 6.39 Bn |
| Feb 1, 2025 | 4.76 Bn |
| Nov 2, 2024 | 4.58 Bn |
| Aug 3, 2024 | 4.19 Bn |
| May 4, 2024 | 999.90 Mn |
| Feb 3, 2024 | 921.70 Mn |
| Oct 28, 2023 | 909.00 Mn |
| Jul 29, 2023 | 894.70 Mn |
| Apr 29, 2023 | 1.06 Bn |
| Jan 28, 2023 | 1.14 Bn |
| Oct 29, 2022 | 803.80 Mn |
| Jul 30, 2022 | 908.90 Mn |
| Apr 30, 2022 | 1.04 Bn |
| Jan 29, 2022 | 1.27 Bn |
| Oct 30, 2021 | 1.41 Bn |
API Access
GameStop Cash & Equivalents 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=cash-and-equivalents&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();