Burlington Stores (BURL) Current Assets (2012 - 2026)
Burlington Stores (BURL) posted Current Assets of $2.59 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.6% from $2.57 billion a year earlier and up 3.4% from the prior quarter.
Burlington Stores (BURL) Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores' Current Assets came in at $2.77 billion, up 5.4% from FY2025.
- Annual Current Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- In prior fiscal years, Burlington Stores' Current Assets was $2.63 billion in FY2025 (+13.0%), $2.33 billion in FY2024 (+1.9%), $2.28 billion in FY2023 (-10.4%) and $2.55 billion in FY2022 (+1.5%).
- Quarterly Current Assets has run from a low of $1.92 billion in fiscal Q2 2024 to a high of $2.77 billion in fiscal Q3 2022 over five years.
- On a year-over-year basis, Current Assets has increased in each of the last three quarters, with growth averaging 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was fiscal Q3 2025, with growth of 21.5%; the weakest was fiscal Q2 2023, with a decline of 27.3%.
- According to Business Quant data, Current Assets for the three prior fiscal quarters was $2.51 billion (Q1 2027), $2.77 billion (Q4 2026) and $2.66 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 249.26 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 37.72 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 23.34 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 7.88 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 20.93 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.20 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 8.01 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 8.93 Bn |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | 2.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.59 Bn |
| May 2, 2026 | 2.51 Bn |
| Jan 31, 2026 | 2.77 Bn |
| Nov 1, 2025 | 2.66 Bn |
| Aug 2, 2025 | 2.57 Bn |
| May 3, 2025 | 2.07 Bn |
| Feb 1, 2025 | 2.63 Bn |
| Nov 2, 2024 | 2.69 Bn |
| Aug 3, 2024 | 2.26 Bn |
| May 4, 2024 | 2.24 Bn |
| Feb 3, 2024 | 2.33 Bn |
| Oct 28, 2023 | 2.21 Bn |
| Jul 29, 2023 | 1.92 Bn |
| Apr 29, 2023 | 1.99 Bn |
| Jan 28, 2023 | 2.28 Bn |
| Oct 29, 2022 | 2.10 Bn |
| Jul 30, 2022 | 1.94 Bn |
| Apr 30, 2022 | 2.18 Bn |
| Jan 29, 2022 | 2.55 Bn |
| Oct 30, 2021 | 2.77 Bn |
Burlington Stores Current Assets 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=current-assets&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();