Burlington Stores (BURL) Non-Current Assets (2012 - 2026)
Burlington Stores (BURL) recorded Non-Current Assets of $7.45 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.7% from $6.74 billion a year earlier and up 2.5% from the prior quarter.
Burlington Stores (BURL) Non-Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores reported Non-Current Assets of $7.15 billion, up 16.4% from FY2025.
- Annual Non-Current Assets has increased for 13 straight fiscal years, with a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $6.14 billion in FY2025 (+14.2%), $5.38 billion in FY2024 (+7.9%), $4.99 billion in FY2023 (+9.8%) and $4.54 billion in FY2022 (+6.4%).
- The fiscal Q2 2027 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q3 2013.
- On a year-over-year basis, Non-Current Assets has increased for 20 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 4.2% (fiscal Q2 2024) to 21.1% (fiscal Q2 2026).
- Per Business Quant, the preceding three fiscal quarters came in at $7.27 billion (Q1 2027), $7.15 billion (Q4 2026) and $6.93 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | 7.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.45 Bn |
| May 2, 2026 | 7.27 Bn |
| Jan 31, 2026 | 7.15 Bn |
| Nov 1, 2025 | 6.93 Bn |
| Aug 2, 2025 | 6.74 Bn |
| May 3, 2025 | 6.48 Bn |
| Feb 1, 2025 | 6.14 Bn |
| Nov 2, 2024 | 5.75 Bn |
| Aug 3, 2024 | 5.56 Bn |
| May 4, 2024 | 5.46 Bn |
| Feb 3, 2024 | 5.38 Bn |
| Oct 28, 2023 | 5.28 Bn |
| Jul 29, 2023 | 5.00 Bn |
| Apr 29, 2023 | 5.01 Bn |
| Jan 28, 2023 | 4.99 Bn |
| Oct 29, 2022 | 5.00 Bn |
| Jul 30, 2022 | 4.80 Bn |
| Apr 30, 2022 | 4.75 Bn |
| Jan 29, 2022 | 4.54 Bn |
| Oct 30, 2021 | 4.51 Bn |
Burlington Stores Non-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=non-current-assets&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();