Burlington Stores (BURL) Return on Sales [ROS] (2012 - 2026)
Burlington Stores' Return on Sales [ROS] was -45.70% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.77 percentage points from -51.47% a year earlier and up 5.14 percentage points from the prior quarter.
Burlington Stores (BURL) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Burlington Stores' Return on Sales [ROS] was -47.72% through Aug 1, 2026, up 2.07 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -49.03%, up 1.28 percentage points from FY2025.
- Return on Sales [ROS] has now increased for three consecutive fiscal years, with a five-year change of +20.24 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -50.31% in FY2025 (+2.31 pp), -52.62% in FY2024 (+3.28 pp), -55.89% in FY2023 (-3.43 pp) and -52.46% in FY2022 (+16.80 pp).
- Quarterly Return on Sales [ROS] has moved between -60.13% (fiscal Q2 2023) and -44.81% (fiscal Q4 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +1.72 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2027 (a gain of 5.77 percentage points); the worst was fiscal Q1 2023 (a drop of 11.02 percentage points).
- Per Business Quant data, BURL's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was -50.84% (Q1 2027), -44.81% (Q4 2026) and -50.61% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Burlington Stores | 17.31 Bn | 14.04 Bn | 1.39 Bn | -45.70% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -45.70% |
| May 2, 2026 | -50.84% |
| Jan 31, 2026 | -44.81% |
| Nov 1, 2025 | -50.61% |
| Aug 2, 2025 | -51.47% |
| May 3, 2025 | -50.81% |
| Feb 1, 2025 | -46.41% |
| Nov 2, 2024 | -51.37% |
| Aug 3, 2024 | -53.07% |
| May 4, 2024 | -51.71% |
| Feb 3, 2024 | -47.17% |
| Oct 28, 2023 | -53.77% |
| Jul 29, 2023 | -56.29% |
| Apr 29, 2023 | -55.61% |
| Jan 28, 2023 | -50.08% |
| Oct 29, 2022 | -57.59% |
| Jul 30, 2022 | -60.13% |
| Apr 30, 2022 | -58.00% |
| Jan 29, 2022 | -53.22% |
| Oct 30, 2021 | -57.12% |
Burlington Stores Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();