Burlington Stores (BURL) Inventory (2012 - 2026)
Burlington Stores (BURL) recorded Inventory of $1.54 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.9% from $1.41 billion a year earlier and up 6.7% from the prior quarter.
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Analysis
Burlington Stores (BURL) Inventory (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores reported Inventory of $1.31 billion, up 4.9% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $1.25 billion in FY2025 (+15.0%), $1.09 billion in FY2024 (-8.0%), $1.18 billion in FY2023 (+15.8%) and $1.02 billion in FY2022 (+37.8%).
- Quarterly Inventory has ranged from $1.02 billion in fiscal Q4 2022 to $1.66 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for nine consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 63.8% in fiscal Q1 2023, against a decline of 8.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.44 billion (Q1 2027), $1.31 billion (Q4 2026) and $1.66 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | 1.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.54 Bn |
| May 2, 2026 | 1.44 Bn |
| Jan 31, 2026 | 1.31 Bn |
| Nov 1, 2025 | 1.66 Bn |
| Aug 2, 2025 | 1.41 Bn |
| May 3, 2025 | 1.32 Bn |
| Feb 1, 2025 | 1.25 Bn |
| Nov 2, 2024 | 1.44 Bn |
| Aug 3, 2024 | 1.22 Bn |
| May 4, 2024 | 1.14 Bn |
| Feb 3, 2024 | 1.09 Bn |
| Oct 28, 2023 | 1.33 Bn |
| Jul 29, 2023 | 1.16 Bn |
| Apr 29, 2023 | 1.23 Bn |
| Jan 28, 2023 | 1.18 Bn |
| Oct 29, 2022 | 1.45 Bn |
| Jul 30, 2022 | 1.27 Bn |
| Apr 30, 2022 | 1.26 Bn |
| Jan 29, 2022 | 1.02 Bn |
| Oct 30, 2021 | 1.06 Bn |
API Access
Burlington Stores Inventory 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=inventory&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();