Burlington Stores (BURL) EBITDA Margin (2012 - 2026)
Burlington Stores' EBITDA Margin was -41.90% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.07 percentage points from -47.97% a year earlier and up 5.28 percentage points from the prior quarter.
Burlington Stores (BURL) EBITDA Margin (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Burlington Stores' EBITDA Margin was -44.04% through Aug 1, 2026, up 2.43 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -45.41%, up 1.63 percentage points from FY2025.
- EBITDA Margin has now increased for three consecutive fiscal years, with a five-year change of +20.03 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was -47.04% in FY2025 (+2.42 pp), -49.46% in FY2024 (+3.33 pp), -52.79% in FY2023 (-3.00 pp) and -49.79% in FY2022 (+15.65 pp).
- Quarterly EBITDA Margin has moved between -56.71% (fiscal Q2 2023) and -41.19% (fiscal Q4 2026) over five years.
- Compared with a year earlier, EBITDA Margin was higher in seven of the last eight quarters, with an average year-over-year change of +1.93 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q2 2027 (a gain of 6.07 percentage points); the worst was fiscal Q1 2023 (a drop of 10.12 percentage points).
- Per Business Quant data, BURL's EBITDA Margin in the three fiscal quarters before Q2 2027 was -47.17% (Q1 2027), -41.19% (Q4 2026) and -46.95% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.39% |
| 10 | Burlington Stores | 16.74 Bn | 13.48 Bn | 1.39 Bn | -41.90% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -41.90% |
| May 2, 2026 | -47.17% |
| Jan 31, 2026 | -41.19% |
| Nov 1, 2025 | -46.95% |
| Aug 2, 2025 | -47.97% |
| May 3, 2025 | -47.14% |
| Feb 1, 2025 | -43.62% |
| Nov 2, 2024 | -47.92% |
| Aug 3, 2024 | -49.56% |
| May 4, 2024 | -48.24% |
| Feb 3, 2024 | -44.38% |
| Oct 28, 2023 | -50.44% |
| Jul 29, 2023 | -52.93% |
| Apr 29, 2023 | -52.31% |
| Jan 28, 2023 | -47.58% |
| Oct 29, 2022 | -54.28% |
| Jul 30, 2022 | -56.71% |
| Apr 30, 2022 | -54.56% |
| Jan 29, 2022 | -50.68% |
| Oct 30, 2021 | -54.31% |
Burlington Stores EBITDA Margin 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=ebitda-margin&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();