Gap (GAP) Operating Expenses (2009 - 2026)
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Analysis
Gap (GAP) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,653.16 Bn | 2,653.16 Bn | - | 173.87 Bn |
| 2 | Home Depot | 338.76 Bn | 332.00 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 155.97 Bn | 133.51 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 121.83 Bn | 114.80 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.90 Bn | 74.90 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 73.46 Bn | 56.38 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 72.26 Bn | 66.85 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.81 Bn | 52.66 Bn | 3.52 Bn | 2.20 Bn |
| 9 | Carvana | 51.56 Bn | 41.15 Bn | 1.52 Bn | 805.00 Mn |
| 10 | Gap | 7.90 Bn | -2.67 Bn | 1.93 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.25 Bn |
| May 2, 2026 | 972.00 Mn |
| Jan 31, 2026 | 1.39 Bn |
| Nov 1, 2025 | 1.34 Bn |
| Aug 2, 2025 | 1.24 Bn |
| May 3, 2025 | 1.19 Bn |
| Feb 1, 2025 | 1.35 Bn |
| Nov 2, 2024 | 1.28 Bn |
| Aug 3, 2024 | 1.29 Bn |
| May 4, 2024 | 1.19 Bn |
| Feb 3, 2024 | 1.46 Bn |
| Oct 28, 2023 | 1.31 Bn |
| Jul 29, 2023 | 1.23 Bn |
| Apr 29, 2023 | 1.22 Bn |
| Jan 28, 2023 | 1.45 Bn |
| Oct 29, 2022 | 1.32 Bn |
| Jul 30, 2022 | 1.36 Bn |
| Apr 30, 2022 | 1.29 Bn |
| Jan 29, 2022 | 1.52 Bn |
| Oct 30, 2021 | 1.51 Bn |
API Access
Gap Operating 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=operating-expenses&ticker=GAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GAP", "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-expenses&ticker=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();