GameStop (GME) Return on Assets [ROA] (2009 - 2026)
GameStop's Return on Assets [ROA] came in at 8.08% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.02 percentage points from 4.06% a year earlier and up 0.93 percentage points from the prior quarter.
Powered by 
Analysis
GameStop (GME) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), GameStop's Return on Assets [ROA] was 5.15%, up 2.09 percentage points from FY2025.
- Return on Assets [ROA] has increased in each of the last four fiscal years, with a five-year change of +13.28 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was 3.06% in FY2025 (+2.83 pp), 0.23% in FY2024 (+9.70 pp), -9.47% in FY2023 (+3.30 pp) and -12.77% in FY2022 (-4.63 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q3 2017.
- Year-over-year, Return on Assets [ROA] has increased for 15 consecutive quarters, with an average year-over-year change of +2.66 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q3 2024 (a gain of 16.35 percentage points), and the weakest in fiscal Q2 2023 (a drop of 15.35 percentage points).
- Business Quant data shows GME's Return on Assets [ROA] at 7.15% (Q1 2027), 4.00% (Q4 2026) and 4.04% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 11.98% |
| 10 | GameStop | 10.82 Bn | -20.45 Bn | 345.00 Mn | 8.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.08% |
| May 2, 2026 | 7.15% |
| Jan 31, 2026 | 4.00% |
| Nov 1, 2025 | 4.04% |
| Aug 2, 2025 | 4.06% |
| May 3, 2025 | 3.11% |
| Feb 1, 2025 | 2.17% |
| Nov 2, 2024 | 1.07% |
| Aug 3, 2024 | 1.05% |
| May 4, 2024 | 0.94% |
| Feb 3, 2024 | 0.23% |
| Oct 28, 2023 | -0.28% |
| Jul 29, 2023 | -3.40% |
| Apr 29, 2023 | -6.65% |
| Jan 28, 2023 | -9.73% |
| Oct 29, 2022 | -16.62% |
| Jul 30, 2022 | -17.54% |
| Apr 30, 2022 | -14.26% |
| Jan 29, 2022 | -10.50% |
| Oct 30, 2021 | -4.20% |
API Access
GameStop Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();