Burlington Stores (BURL) Cash from Operations (2013 - 2026)
Burlington Stores (BURL) reported Cash from Operations of $273.16 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 52.2% from $179.44 million a year earlier and up 344.4% from the prior quarter.
Burlington Stores (BURL) Cash from Operations (2013 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Burlington Stores' Cash from Operations came in at $1.42 billion, up 76.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.23 billion, up 42.6% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 41.2% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $863.38 million in FY2025 (-0.6%), $868.74 million in FY2024 (+45.7%), $596.39 million in FY2023 (-28.4%) and $833.16 million in FY2022 (+280.1%).
- Five-year quarterly Cash from Operations spans a low of -$172.3 million in fiscal Q1 2023 and a high of $937.52 million in fiscal Q4 2026.
- Year over year, Cash from Operations gained in four of the last six quarters, with growth averaging 17.2%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q2 2024 (growth of 454.5%); the low point was fiscal Q2 2023 (a decline of 90.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $61.47 million (Q1 2027), $937.52 million (Q4 2026) and $143.33 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 273.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 273.16 Mn |
| May 2, 2026 | 61.47 Mn |
| Jan 31, 2026 | 937.52 Mn |
| Nov 1, 2025 | 143.33 Mn |
| Aug 2, 2025 | 179.44 Mn |
| May 3, 2025 | -28.91 Mn |
| Feb 1, 2025 | 543.16 Mn |
| Nov 2, 2024 | 110.41 Mn |
| Aug 3, 2024 | 160.43 Mn |
| May 4, 2024 | 49.37 Mn |
| Feb 3, 2024 | 598.54 Mn |
| Oct 28, 2023 | 240.37 Mn |
| Jul 29, 2023 | 107.78 Mn |
| Apr 29, 2023 | -77.95 Mn |
| Jan 28, 2023 | 586.81 Mn |
| Oct 29, 2022 | 162.44 Mn |
| Jul 30, 2022 | 19.44 Mn |
| Apr 30, 2022 | -172.30 Mn |
| Jan 29, 2022 | 224.79 Mn |
| Oct 30, 2021 | 181.50 Mn |
Burlington Stores Cash from Operations 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-from-operations&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();