Gap (GAP) Asset Writedowns and Impairment (2016 - 2024)
Gap (GAP) reported Asset Writedowns and Impairment of $1 million for FY2025 (year ended Feb 1, 2025), down 75.0% from $4 million in FY2024.
Analysis
Gap (GAP) Asset Writedowns and Impairment (2016 - 2024) Analysis & Trends
Dating back to FY2015, Gap's Asset Writedowns and Impairment record includes 11 fiscal years.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of -66.6% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Asset Writedowns and Impairment in data going back to FY2015.
- According to Business Quant data, Asset Writedowns and Impairment came in at $4 million in FY2024 (-87.9%), $33 million in FY2023 (+312.5%), $8 million in FY2022 (-98.0%) and $391 million in FY2021 (+63.6%).
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 |
|---|---|
| Feb 3, 2024 | 2.00 Mn |
| Jul 29, 2023 | 1.00 Mn |
| Apr 29, 2023 | 1.00 Mn |
| Jan 28, 2023 | 17.00 Mn |
| Oct 29, 2022 | 13.00 Mn |
| Apr 30, 2022 | 3.00 Mn |
| Jan 29, 2022 | 2.00 Mn |
| Jul 31, 2021 | 1.00 Mn |
| May 1, 2021 | 5.00 Mn |
| Jan 30, 2021 | 30.00 Mn |
| May 2, 2020 | 360.00 Mn |
| Feb 1, 2020 | 230.00 Mn |
| Feb 3, 2018 | 11.00 Mn |
| Oct 28, 2017 | 4.00 Mn |
| Jul 29, 2017 | 11.00 Mn |
| Jan 28, 2017 | 71.00 Mn |
| Oct 29, 2016 | 33.00 Mn |
| Jul 30, 2016 | 56.00 Mn |
API Access
Gap Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();