Burlington Stores (BURL) Revenue (2012 - 2026)
Burlington Stores (BURL) posted Revenue of $3 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.0% from $2.71 billion a year earlier and up 5.1% from the prior quarter.
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Analysis
Burlington Stores (BURL) Revenue (2012 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Revenue at Burlington Stores was $12.22 billion, up 10.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $11.57 billion, up 8.8% from FY2025.
- Annual Revenue has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- In prior fiscal years, Burlington Stores' Revenue was $10.63 billion in FY2025 (+9.3%), $9.73 billion in FY2024 (+11.8%), $8.7 billion in FY2023 (-6.6%) and $9.32 billion in FY2022 (+61.7%).
- Quarterly Revenue has run from a low of $1.93 billion in fiscal Q1 2023 to a high of $3.65 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last 15 quarters, with growth averaging 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q3 2022, with growth of 38.2%; the weakest was fiscal Q1 2023, with a decline of 12.0%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $2.86 billion (Q1 2027), $3.65 billion (Q4 2026) and $2.71 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 3.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.00 Bn |
| May 2, 2026 | 2.86 Bn |
| Jan 31, 2026 | 3.65 Bn |
| Nov 1, 2025 | 2.71 Bn |
| Aug 2, 2025 | 2.71 Bn |
| May 3, 2025 | 2.50 Bn |
| Feb 1, 2025 | 3.28 Bn |
| Nov 2, 2024 | 2.53 Bn |
| Aug 3, 2024 | 2.47 Bn |
| May 4, 2024 | 2.36 Bn |
| Feb 3, 2024 | 3.13 Bn |
| Oct 28, 2023 | 2.29 Bn |
| Jul 29, 2023 | 2.17 Bn |
| Apr 29, 2023 | 2.14 Bn |
| Jan 28, 2023 | 2.74 Bn |
| Oct 29, 2022 | 2.04 Bn |
| Jul 30, 2022 | 1.99 Bn |
| Apr 30, 2022 | 1.93 Bn |
| Jan 29, 2022 | 2.61 Bn |
| Oct 30, 2021 | 2.30 Bn |
API Access
Burlington Stores Revenue 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=revenue&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();