GameStop (GME) Change in Other Operating Liabilities (2010 - 2026)
Powered by 
Analysis
GameStop (GME) Change in Other Operating Liabilities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | -281.00 Mn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 46.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 10.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 326.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 123.02 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | -10.00 Mn |
| 10 | GameStop | 11.32 Bn | -19.95 Bn | 345.00 Mn | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.00 Mn |
| May 2, 2026 | 300,000.00 |
| Jan 31, 2026 | 3.10 Mn |
| Nov 1, 2025 | -200,000.00 |
| Aug 2, 2025 | -4.00 Mn |
| May 3, 2025 | -13.70 Mn |
| Feb 1, 2025 | -9.00 Mn |
| Nov 2, 2024 | 22.20 Mn |
| Aug 3, 2024 | -8.70 Mn |
| May 4, 2024 | -1.50 Mn |
| Feb 3, 2024 | -500,000.00 |
| Oct 28, 2023 | -1.00 Mn |
| Jul 29, 2023 | -1.40 Mn |
| Jan 28, 2023 | 1.20 Mn |
| Oct 29, 2022 | -700,000.00 |
| Jul 30, 2022 | -500,000.00 |
| Jan 29, 2022 | 1.50 Mn |
| Oct 30, 2021 | 100,000.00 |
| May 1, 2021 | -100,000.00 |
| Jan 30, 2021 | -2.10 Mn |
API Access
GameStop Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();