Burlington Stores (BURL) Cash & Equivalents (2012 - 2026)
Burlington Stores' Cash & Equivalents was $703.69 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.9% from $747.62 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Burlington Stores (BURL) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at Burlington Stores came in at $1.23 billion, up 23.9% from FY2025.
- Cash & Equivalents has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $994.7 million in FY2025 (+7.5%), $925.36 million in FY2024 (+6.0%), $872.62 million in FY2023 (-20.0%) and $1.09 billion in FY2022 (-21.0%).
- Quarterly Cash & Equivalents has moved between $371.09 million (fiscal Q1 2026) and $1.23 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 12.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2027 (growth of 101.4%); the worst was fiscal Q2 2023 (a decline of 66.2%).
- Per Business Quant data, BURL's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $747.36 million (Q1 2027), $1.23 billion (Q4 2026) and $584.08 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Burlington Stores | 17.31 Bn | 14.04 Bn | 1.39 Bn | 703.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 703.69 Mn |
| May 2, 2026 | 747.36 Mn |
| Jan 31, 2026 | 1.23 Bn |
| Nov 1, 2025 | 584.08 Mn |
| Aug 2, 2025 | 747.62 Mn |
| May 3, 2025 | 371.09 Mn |
| Feb 1, 2025 | 994.70 Mn |
| Nov 2, 2024 | 857.80 Mn |
| Aug 3, 2024 | 659.91 Mn |
| May 4, 2024 | 742.33 Mn |
| Feb 3, 2024 | 925.36 Mn |
| Oct 28, 2023 | 615.86 Mn |
| Jul 29, 2023 | 520.97 Mn |
| Apr 29, 2023 | 532.44 Mn |
| Jan 28, 2023 | 872.62 Mn |
| Oct 29, 2022 | 428.58 Mn |
| Jul 30, 2022 | 454.99 Mn |
| Apr 30, 2022 | 627.05 Mn |
| Jan 29, 2022 | 1.09 Bn |
| Oct 30, 2021 | 1.19 Bn |
API Access
Burlington Stores Cash & Equivalents 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=cash-and-equivalents&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();