Burlington Stores (BURL) Asset Writedowns and Impairment (2012 - 2026)
Burlington Stores (BURL) reported Asset Writedowns and Impairment of $3.58 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 126.4% from $1.58 million a year earlier and up 343.2% from the prior quarter.
Burlington Stores (BURL) Asset Writedowns and Impairment (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Burlington Stores' Asset Writedowns and Impairment came in at $12.19 million, up 79.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $9.9 million, down 23.4% from FY2025.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- By fiscal year, Asset Writedowns and Impairment came in at $12.92 million in FY2025 (+101.9%), $6.4 million in FY2024 (-70.1%), $21.4 million in FY2023 (+176.2%) and $7.75 million in FY2022 (+28.9%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $33,000 in fiscal Q4 2024 and a high of $10.6 million in fiscal Q3 2023.
- Year over year, Asset Writedowns and Impairment has now increased in each of the last four quarters, with growth averaging 88.1% over the last six quarters.
- The high point for year-over-year Asset Writedowns and Impairment in five years was fiscal Q4 2022 (growth of 995.4%); the low point was fiscal Q4 2024 (a decline of 99.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $807,000 (Q1 2027), $4.02 million (Q4 2026) and $3.79 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Burlington Stores | 17.31 Bn | 14.04 Bn | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.58 Mn |
| May 2, 2026 | 807,000.00 |
| Jan 31, 2026 | 4.02 Mn |
| Nov 1, 2025 | 3.79 Mn |
| Aug 2, 2025 | 1.58 Mn |
| May 3, 2025 | 516,000.00 |
| Feb 1, 2025 | 1.67 Mn |
| Nov 2, 2024 | 3.04 Mn |
| May 4, 2024 | 8.21 Mn |
| Feb 3, 2024 | 33,000.00 |
| Oct 28, 2023 | 814,000.00 |
| Jul 29, 2023 | 4.71 Mn |
| Apr 29, 2023 | 844,000.00 |
| Jan 28, 2023 | 3.85 Mn |
| Oct 29, 2022 | 10.60 Mn |
| Jul 30, 2022 | 4.42 Mn |
| Apr 30, 2022 | 2.54 Mn |
| Jan 29, 2022 | 4.51 Mn |
| Oct 30, 2021 | 1.50 Mn |
| Jul 31, 2021 | 1.00 Mn |
Burlington Stores 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=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "BURL", "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=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();