Burlington Stores (BURL) Other Non-Current Liabilities (2012 - 2026)
Burlington Stores (BURL) recorded Other Non-Current Liabilities of $74.72 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.1% from $77.1 million a year earlier and unchanged from the prior quarter.
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Analysis
Burlington Stores (BURL) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores reported Other Non-Current Liabilities of $75.74 million, up 1.8% from FY2025.
- Annual Other Non-Current Liabilities has increased for three straight fiscal years, though with a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $74.4 million in FY2025 (+0.8%), $73.79 million in FY2024 (+6.4%), $69.39 million in FY2023 (-14.2%) and $80.9 million in FY2022 (-22.2%).
- Quarterly Other Non-Current Liabilities has ranged from $68.69 million in fiscal Q3 2023 to $94.51 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 1.4%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 6.4% in fiscal Q4 2024, against a decline of 34.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $74.72 million (Q1 2027), $75.74 million (Q4 2026) and $74.3 million (Q3 2026).
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 | 74.72 Mn |
| May 2, 2026 | 74.72 Mn |
| Jan 31, 2026 | 75.74 Mn |
| Nov 1, 2025 | 74.30 Mn |
| Aug 2, 2025 | 77.10 Mn |
| May 3, 2025 | 74.10 Mn |
| Feb 1, 2025 | 74.40 Mn |
| Nov 2, 2024 | 74.09 Mn |
| Aug 3, 2024 | 74.09 Mn |
| May 4, 2024 | 73.21 Mn |
| Feb 3, 2024 | 73.79 Mn |
| Oct 28, 2023 | 70.57 Mn |
| Jul 29, 2023 | 70.77 Mn |
| Apr 29, 2023 | 70.08 Mn |
| Jan 28, 2023 | 69.39 Mn |
| Oct 29, 2022 | 68.69 Mn |
| Jul 30, 2022 | 69.56 Mn |
| Apr 30, 2022 | 71.01 Mn |
| Jan 29, 2022 | 80.90 Mn |
| Oct 30, 2021 | 94.51 Mn |
API Access
Burlington Stores Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();