Gap (GAP) Shares Outstanding (Diluted) (2009 - 2026)
Gap (GAP) reported Weighted Average Shares Outstanding (Diluted) of 362 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.5% from 379 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Gap (GAP) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Gap posted Weighted Average Shares Outstanding (Diluted) of 384 million, unchanged from FY2025.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 384 million in FY2025 (+2.1%), 376 million in FY2024 (+2.5%), 367 million in FY2023 (-4.2%) and 383 million in FY2022 (+2.4%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to fiscal Q4 2009.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in two of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was fiscal Q1 2025 (growth of 4.4%); the low point was fiscal Q2 2023 (a decline of 4.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 378 million (Q1 2027), 384 million (Q4 2026) and 380 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,882.37 Bn | 2,379.04 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 352.74 Bn | 345.98 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 160.17 Bn | 137.71 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 128.29 Bn | 121.25 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 78.33 Bn | 61.25 Bn | 2.12 Bn | 319.45 Mn |
| 6 | O Reilly Automotive | 76.31 Bn | 75.40 Bn | 2.52 Bn | 828.88 Mn |
| 7 | Target | 74.04 Bn | 68.63 Bn | 8.94 Bn | 456.60 Mn |
| 8 | Carvana | 56.03 Bn | 45.61 Bn | 1.52 Bn | 739.91 Mn |
| 9 | Autozone | 54.86 Bn | 53.71 Bn | 3.52 Bn | 16.87 Mn |
| 10 | Gap | 8.40 Bn | -2.16 Bn | 1.93 Bn | 362.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 362.00 Mn |
| May 2, 2026 | 378.00 Mn |
| Jan 31, 2026 | 384.00 Mn |
| Nov 1, 2025 | 380.00 Mn |
| Aug 2, 2025 | 379.00 Mn |
| May 3, 2025 | 382.00 Mn |
| Feb 1, 2025 | 384.00 Mn |
| Nov 2, 2024 | 383.00 Mn |
| Aug 3, 2024 | 383.00 Mn |
| May 4, 2024 | 383.00 Mn |
| Feb 3, 2024 | 376.00 Mn |
| Oct 28, 2023 | 375.00 Mn |
| Jul 29, 2023 | 371.00 Mn |
| Apr 29, 2023 | 367.00 Mn |
| Jan 28, 2023 | 367.00 Mn |
| Oct 29, 2022 | 366.00 Mn |
| Jul 30, 2022 | 367.00 Mn |
| Apr 30, 2022 | 370.00 Mn |
| Jan 29, 2022 | 383.00 Mn |
| Oct 30, 2021 | 376.00 Mn |
API Access
Gap Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=GAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();