Gap (GAP) Gains from Sales and Divestitures (2019 - 2023)
Gap (GAP) recorded Gains from Sales and Divestitures of $47 million in FY2024 (year ended Feb 3, 2024), down 43.4% from $83 million in FY2023.
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Analysis
Gap (GAP) Gains from Sales and Divestitures (2019 - 2023) Analysis & Trends
Starting with FY2018, Gap's Gains from Sales and Divestitures history includes 6 fiscal years.
- Annual Gains from Sales and Divestitures has a five-year compound annual growth rate of 63.7% (FY2019 to FY2024).
- Annual Gains from Sales and Divestitures has ranged from -$59 million in FY2022 to $191 million in FY2020 over the past five years.
- Per Business Quant data, GAP's Gains from Sales and Divestitures was $83 million in FY2023, -$59 million in FY2022 and $191 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn |
| 10 | Gap | 8.15 Bn | -2.41 Bn | 1.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 29, 2023 | 47.00 Mn |
| Oct 29, 2022 | 118.00 Mn |
| Jul 30, 2022 | -35.00 Mn |
| Jul 31, 2021 | -3.00 Mn |
| May 1, 2021 | -56.00 Mn |
| May 4, 2019 | 191.00 Mn |
| Feb 2, 2019 | 4.00 Mn |
API Access
Gap Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();