GameStop (GME) Interest Expenses (2009 - 2022)
GameStop (GME) posted Interest Expenses of $700,000 for fiscal Q1 2023 (quarter ended Apr 30, 2022), down 97.2% from $24.7 million a year earlier and unchanged from the prior quarter.
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Analysis
GameStop (GME) Interest Expenses (2009 - 2022) Analysis & Trends
For the trailing twelve months through Apr 30, 2022, Interest Expenses at GameStop was $2.8 million, down 94.3% year-over-year; for FY2022 (ended Jan 29, 2022), it came in at $26.9 million, down 16.2% from FY2021.
- Annual Interest Expenses shows a five-year compound annual growth rate of -12.9% (FY2017 to FY2022).
- In prior fiscal years, GameStop's Interest Expenses was $32.1 million in FY2021 (+18.0%), $27.2 million in FY2020 (-52.1%), $56.8 million in FY2019 (unchanged) and $56.8 million in FY2018 (+5.6%).
- Quarterly Interest Expenses has run from a low of -$3.4 million in fiscal Q4 2020 to a high of $24.7 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last four quarters, with an average decline of 19.8% over the last seven quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q1 2022, with growth of 225.0%; the weakest was fiscal Q1 2023, with a decline of 97.2%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $700,000 (Q4 2022), $800,000 (Q3 2022) and $600,000 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 101.00 Mn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2022 | 700,000.00 |
| Jan 29, 2022 | 700,000.00 |
| Oct 30, 2021 | 800,000.00 |
| Jul 31, 2021 | 600,000.00 |
| May 1, 2021 | 24.70 Mn |
| Jan 30, 2021 | 6.60 Mn |
| Oct 31, 2020 | 10.00 Mn |
| Aug 1, 2020 | 7.90 Mn |
| May 2, 2020 | 7.60 Mn |
| Feb 1, 2020 | -3.40 Mn |
| Nov 2, 2019 | 8.00 Mn |
| Aug 3, 2019 | 9.60 Mn |
| May 4, 2019 | 13.00 Mn |
| Feb 2, 2019 | 14.10 Mn |
| Nov 3, 2018 | 14.10 Mn |
| Aug 4, 2018 | 14.40 Mn |
| May 5, 2018 | 14.20 Mn |
| Feb 3, 2018 | 14.20 Mn |
| Oct 28, 2017 | 14.10 Mn |
| Jul 29, 2017 | 14.40 Mn |
API Access
GameStop Interest Expenses 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=interest-expenses&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();