Burlington Stores (BURL) EBT (2012 - 2026)
Burlington Stores (BURL) recorded EBT of $242.12 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 90.2% from $127.32 million a year earlier and up 69.7% from the prior quarter.
Burlington Stores (BURL) EBT (2012 - 2026) Analysis & Trends
On a TTM basis, Burlington Stores' EBT came in at $940.71 million as of Aug 1, 2026, up 29.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $816.12 million, up 20.9% from FY2025.
- Annual EBT has increased for three straight fiscal years.
- Across earlier fiscal years, EBT came in at $674.81 million in FY2025 (+44.9%), $465.77 million in FY2024 (+51.5%), $307.51 million in FY2023 (-43.6%) and $545.3 million in FY2022.
- Quarterly EBT has ranged from $15.96 million in fiscal Q2 2023 to $417.86 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EBT has increased for 15 consecutive quarters, with growth averaging 33.9% over the last eight quarters.
- Peak year-over-year performance for EBT in the last five years was growth of 193.2% in fiscal Q3 2024, against a decline of 91.6% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $142.67 million (Q1 2027), $417.86 million (Q4 2026) and $138.06 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 80.86 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.32 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.18 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.13 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.46 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 924.08 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 579.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 813.27 Mn |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | 242.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 242.12 Mn |
| May 2, 2026 | 142.67 Mn |
| Jan 31, 2026 | 417.86 Mn |
| Nov 1, 2025 | 138.06 Mn |
| Aug 2, 2025 | 127.32 Mn |
| May 3, 2025 | 132.87 Mn |
| Feb 1, 2025 | 347.47 Mn |
| Nov 2, 2024 | 118.04 Mn |
| Aug 3, 2024 | 99.67 Mn |
| May 4, 2024 | 109.64 Mn |
| Feb 3, 2024 | 313.57 Mn |
| Oct 28, 2023 | 66.89 Mn |
| Jul 29, 2023 | 41.99 Mn |
| Apr 29, 2023 | 43.32 Mn |
| Jan 28, 2023 | 251.03 Mn |
| Oct 29, 2022 | 22.82 Mn |
| Jul 30, 2022 | 15.96 Mn |
| Apr 30, 2022 | 17.71 Mn |
| Jan 29, 2022 | 178.33 Mn |
| Oct 30, 2021 | 31.54 Mn |
Burlington Stores EBT 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=ebt&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();