Gap (GAP) Operating Expenses (2009 - 2026)
Gap (GAP) reported Operating Expenses of $1.25 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.7% from $1.24 billion a year earlier and up 28.9% from the prior quarter.
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Analysis
Gap (GAP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Gap's Operating Expenses came in at $4.95 billion, down 2.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $5.15 billion, up 0.7% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $5.12 billion in FY2025 (-1.9%), $5.22 billion in FY2024 (-3.9%), $5.43 billion in FY2023 (-6.8%) and $5.83 billion in FY2022 (+4.7%).
- Five-year quarterly Operating Expenses spans a low of $972 million in fiscal Q1 2027 and a high of $1.52 billion in fiscal Q4 2022.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2025 (growth of 5.1%); the low point was fiscal Q1 2027 (a decline of 18.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $972 million (Q1 2027), $1.39 billion (Q4 2026) and $1.34 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 704.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 5.73 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Gap | 8.15 Bn | -2.41 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();