Burlington Stores (BURL) Prepaid Assets (2012 - 2026)
Burlington Stores' Prepaid Assets came in at $214.55 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 28.5% from $299.96 million a year earlier but up 9.1% from the prior quarter.
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Analysis
Burlington Stores (BURL) Prepaid Assets (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores' Prepaid Assets was $118.44 million, down 55.0% from FY2025.
- Prepaid Assets carries a five-year compound annual growth rate of -17.7% (FY2021 to FY2026).
- Going back by fiscal year, Prepaid Assets was $263.06 million in FY2025 (+21.7%), $216.16 million in FY2024 (+64.1%), $131.69 million in FY2023 (-64.5%) and $370.52 million in FY2022 (+17.9%).
- The five-year range for quarterly Prepaid Assets is $118.44 million (fiscal Q4 2026) to $425.29 million (fiscal Q3 2022).
- Year-over-year, Prepaid Assets has declined for three consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q2 2025 (growth of 66.5%), and the weakest in fiscal Q3 2023 (a decline of 69.0%).
- Business Quant data shows BURL's Prepaid Assets at $196.7 million (Q1 2027), $118.44 million (Q4 2026) and $299.93 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 214.55 Mn |
| May 2, 2026 | 196.70 Mn |
| Jan 31, 2026 | 118.44 Mn |
| Nov 1, 2025 | 299.93 Mn |
| Aug 2, 2025 | 299.96 Mn |
| May 3, 2025 | 255.31 Mn |
| Feb 1, 2025 | 263.06 Mn |
| Nov 2, 2024 | 256.61 Mn |
| Aug 3, 2024 | 247.68 Mn |
| May 4, 2024 | 226.38 Mn |
| Feb 3, 2024 | 216.16 Mn |
| Oct 28, 2023 | 154.96 Mn |
| Jul 29, 2023 | 148.71 Mn |
| Apr 29, 2023 | 136.75 Mn |
| Jan 28, 2023 | 131.69 Mn |
| Oct 29, 2022 | 131.83 Mn |
| Jul 30, 2022 | 135.05 Mn |
| Apr 30, 2022 | 209.01 Mn |
| Jan 29, 2022 | 370.52 Mn |
| Oct 30, 2021 | 425.29 Mn |
API Access
Burlington Stores Prepaid 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=prepaid-assets&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();