GameStop (GME) Operating Leases (2019 - 2026)
GameStop (GME) recorded Operating Leases of $85.7 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 44.9% from $155.5 million a year earlier and down 6.4% from the prior quarter.
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Analysis
GameStop (GME) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), GameStop reported Operating Leases of $110.1 million, down 55.9% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of -24.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $249.5 million in FY2025 (-35.5%), $386.6 million in FY2024 (+1.1%), $382.4 million in FY2023 (-2.9%) and $393.7 million in FY2022 (-13.8%).
- The fiscal Q2 2027 figure is the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined for ten consecutive quarters, with an average decline of 46.5% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 12.9% in fiscal Q3 2024, against a decline of 56.4% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $91.6 million (Q1 2027), $110.1 million (Q4 2026) and $134.6 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | GameStop | 10.77 Bn | -20.50 Bn | 345.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 85.70 Mn |
| May 2, 2026 | 91.60 Mn |
| Jan 31, 2026 | 110.10 Mn |
| Nov 1, 2025 | 134.60 Mn |
| Aug 2, 2025 | 155.50 Mn |
| May 3, 2025 | 167.80 Mn |
| Feb 1, 2025 | 249.50 Mn |
| Nov 2, 2024 | 285.40 Mn |
| Aug 3, 2024 | 335.90 Mn |
| May 4, 2024 | 385.30 Mn |
| Feb 3, 2024 | 386.60 Mn |
| Oct 28, 2023 | 394.80 Mn |
| Jul 29, 2023 | 405.70 Mn |
| Apr 29, 2023 | 412.50 Mn |
| Jan 28, 2023 | 382.40 Mn |
| Oct 29, 2022 | 349.60 Mn |
| Jul 30, 2022 | 367.40 Mn |
| Apr 30, 2022 | 374.50 Mn |
| Jan 29, 2022 | 393.70 Mn |
| Oct 30, 2021 | 409.70 Mn |
API Access
GameStop Operating Leases 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-leases&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();