GameStop (GME) Receivables (2009 - 2026)
GameStop (GME) posted Receivables of $95.4 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 109.7% from $45.5 million a year earlier and up 62.2% from the prior quarter.
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Analysis
GameStop (GME) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop's Receivables came in at $45 million, down 26.1% from FY2025.
- Annual Receivables has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -15.6% (FY2021 to FY2026).
- In prior fiscal years, GameStop's Receivables was $60.9 million in FY2025 (-33.1%), $91 million in FY2024 (-40.9%), $153.9 million in FY2023 (+9.1%) and $141.1 million in FY2022 (+34.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Receivables since fiscal Q1 2024.
- On a year-over-year basis, Receivables increased in two of the last eight quarters, with an average decline of 0.6%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2027, with growth of 109.7%; the weakest was fiscal Q1 2025, with a decline of 50.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $58.8 million (Q1 2027), $45 million (Q4 2026) and $54.5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 377.00 Mn |
| 10 | GameStop | 11.84 Bn | -19.43 Bn | 345.00 Mn | 95.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 95.40 Mn |
| May 2, 2026 | 58.80 Mn |
| Jan 31, 2026 | 45.00 Mn |
| Nov 1, 2025 | 54.50 Mn |
| Aug 2, 2025 | 45.50 Mn |
| May 3, 2025 | 44.10 Mn |
| Feb 1, 2025 | 60.90 Mn |
| Nov 2, 2024 | 57.50 Mn |
| Aug 3, 2024 | 59.70 Mn |
| May 4, 2024 | 58.90 Mn |
| Feb 3, 2024 | 91.00 Mn |
| Oct 28, 2023 | 88.30 Mn |
| Jul 29, 2023 | 75.60 Mn |
| Apr 29, 2023 | 119.20 Mn |
| Jan 28, 2023 | 153.90 Mn |
| Oct 29, 2022 | 125.30 Mn |
| Jul 30, 2022 | 99.60 Mn |
| Apr 30, 2022 | 103.40 Mn |
| Jan 29, 2022 | 141.10 Mn |
| Oct 30, 2021 | 83.40 Mn |
API Access
GameStop Receivables 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=receivables&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();