Burlington Stores (BURL) Receivables (2012 - 2026)
Burlington Stores (BURL) reported Receivables of $128.09 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 15.1% from $111.24 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Burlington Stores (BURL) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores posted Receivables of $105.3 million, up 19.5% from FY2025.
- Receivables has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $88.08 million in FY2025 (+18.4%), $74.36 million in FY2024 (+4.6%), $71.09 million in FY2023 (+31.4%) and $54.09 million in FY2022 (-13.0%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Receivables in data going back to fiscal Q3 2013.
- Year over year, Receivables has now increased in each of the last 15 quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2023 (growth of 31.4%); the low point was fiscal Q4 2022 (a decline of 13.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $113.98 million (Q1 2027), $105.3 million (Q4 2026) and $116.22 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 377.00 Mn |
| 10 | Burlington Stores | 16.31 Bn | 13.04 Bn | 1.39 Bn | 128.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 128.09 Mn |
| May 2, 2026 | 113.98 Mn |
| Jan 31, 2026 | 105.30 Mn |
| Nov 1, 2025 | 116.22 Mn |
| Aug 2, 2025 | 111.24 Mn |
| May 3, 2025 | 106.73 Mn |
| Feb 1, 2025 | 88.08 Mn |
| Nov 2, 2024 | 102.87 Mn |
| Aug 3, 2024 | 99.66 Mn |
| May 4, 2024 | 100.65 Mn |
| Feb 3, 2024 | 74.36 Mn |
| Oct 28, 2023 | 91.58 Mn |
| Jul 29, 2023 | 80.74 Mn |
| Apr 29, 2023 | 78.48 Mn |
| Jan 28, 2023 | 71.09 Mn |
| Oct 29, 2022 | 80.64 Mn |
| Jul 30, 2022 | 70.86 Mn |
| Apr 30, 2022 | 77.71 Mn |
| Jan 29, 2022 | 54.09 Mn |
| Oct 30, 2021 | 90.71 Mn |
API Access
Burlington Stores Receivables 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=receivables&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();