Burlington Stores (BURL) Payables (2012 - 2026)
Burlington Stores (BURL) recorded Payables of $1.11 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.2% from $1.02 billion a year earlier and up 5.6% from the prior quarter.
Burlington Stores (BURL) Payables (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores reported Payables of $1.02 billion, down 1.8% from FY2025.
- Annual Payables has a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $1.04 billion in FY2025 (+8.6%), $956.35 million in FY2024 (+0.1%), $955.79 million in FY2023 (-11.6%) and $1.08 billion in FY2022 (+25.3%).
- Quarterly Payables has ranged from $773.49 million in fiscal Q2 2024 to $1.17 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Payables rose in six of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Payables in the last five years was growth of 31.5% in fiscal Q2 2025, against a decline of 18.8% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.05 billion (Q1 2027), $1.02 billion (Q4 2026) and $1.12 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.72 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.11 Bn |
| May 2, 2026 | 1.05 Bn |
| Jan 31, 2026 | 1.02 Bn |
| Nov 1, 2025 | 1.12 Bn |
| Aug 2, 2025 | 1.02 Bn |
| May 3, 2025 | 914.58 Mn |
| Feb 1, 2025 | 1.04 Bn |
| Nov 2, 2024 | 1.10 Bn |
| Aug 3, 2024 | 1.02 Bn |
| May 4, 2024 | 929.76 Mn |
| Feb 3, 2024 | 956.35 Mn |
| Oct 28, 2023 | 939.66 Mn |
| Jul 29, 2023 | 773.49 Mn |
| Apr 29, 2023 | 829.21 Mn |
| Jan 28, 2023 | 955.79 Mn |
| Oct 29, 2022 | 953.68 Mn |
| Jul 30, 2022 | 800.74 Mn |
| Apr 30, 2022 | 962.21 Mn |
| Jan 29, 2022 | 1.08 Bn |
| Oct 30, 2021 | 1.17 Bn |
Burlington Stores Payables 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=payables&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();