GameStop (GME) Exchange Rate Effect (2009 - 2026)
GameStop (GME) recorded Exchange Rate Effect of $3.5 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with $100,000 a year earlier and up 84.2% from the prior quarter.
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Analysis
GameStop (GME) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, GameStop's Exchange Rate Effect came in at $9 million as of Aug 1, 2026, up 309.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $9.6 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of -10.0% (FY2021 to FY2026).
- Across earlier fiscal years, Exchange Rate Effect came in at -$2.9 million in FY2025, -$8.6 million in FY2024, -$1.5 million in FY2023 and -$16.6 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Exchange Rate Effect since fiscal Q1 2026.
- Per Business Quant, the preceding three fiscal quarters came in at $1.9 million (Q1 2027), $600,000 (Q4 2026) and $3 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | -26.00 Mn |
| 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 | 680,000.00 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | -503,000.00 |
| 10 | GameStop | 10.77 Bn | -20.50 Bn | 345.00 Mn | 3.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.50 Mn |
| May 2, 2026 | 1.90 Mn |
| Jan 31, 2026 | 600,000.00 |
| Nov 1, 2025 | 3.00 Mn |
| Aug 2, 2025 | 100,000.00 |
| May 3, 2025 | 5.90 Mn |
| Feb 1, 2025 | -4.00 Mn |
| Nov 2, 2024 | 200,000.00 |
| Aug 3, 2024 | -400,000.00 |
| May 4, 2024 | 1.30 Mn |
| Feb 3, 2024 | 3.60 Mn |
| Oct 28, 2023 | -7.60 Mn |
| Jul 29, 2023 | -600,000.00 |
| Apr 29, 2023 | -4.00 Mn |
| Jan 28, 2023 | 22.00 Mn |
| Oct 29, 2022 | -24.90 Mn |
| Jul 30, 2022 | -1.20 Mn |
| Apr 30, 2022 | 2.60 Mn |
| Jan 29, 2022 | -11.10 Mn |
| Oct 30, 2021 | -1.00 Mn |
API Access
GameStop Exchange Rate Effect 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=exchange-rate-effect&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();