Burlington Stores (BURL) Net Income (2012 - 2026)
Burlington Stores (BURL) reported Net Income of $184.3 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 95.7% from $94.19 million a year earlier and up 60.6% from the prior quarter.
Burlington Stores (BURL) Net Income (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Burlington Stores' Net Income came in at $714.2 million, up 30.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $610.15 million, up 21.1% from FY2025.
- Net Income has increased for three consecutive fiscal years.
- By fiscal year, Net Income came in at $503.64 million in FY2025 (+48.3%), $339.65 million in FY2024 (+47.6%), $230.12 million in FY2023 (-43.7%) and $408.84 million in FY2022.
- Five-year quarterly Net Income spans a low of $11.96 million in fiscal Q2 2023 and a high of $310.4 million in fiscal Q4 2026.
- Year over year, Net Income has now increased in each of the last 16 quarters, with growth averaging 37.7% over the last eight quarters.
- The high point for year-over-year Net Income in five years was fiscal Q3 2024 (growth of 189.3%); the low point was fiscal Q1 2023 (a decline of 90.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $114.74 million (Q1 2027), $310.4 million (Q4 2026) and $104.75 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 62.66 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 851.30 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 715.06 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 513.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 641.49 Mn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 184.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 184.30 Mn |
| May 2, 2026 | 114.74 Mn |
| Jan 31, 2026 | 310.40 Mn |
| Nov 1, 2025 | 104.75 Mn |
| Aug 2, 2025 | 94.19 Mn |
| May 3, 2025 | 100.83 Mn |
| Feb 1, 2025 | 260.80 Mn |
| Nov 2, 2024 | 90.60 Mn |
| Aug 3, 2024 | 73.76 Mn |
| May 4, 2024 | 78.51 Mn |
| Feb 3, 2024 | 227.46 Mn |
| Oct 28, 2023 | 48.55 Mn |
| Jul 29, 2023 | 30.89 Mn |
| Apr 29, 2023 | 32.72 Mn |
| Jan 28, 2023 | 185.20 Mn |
| Oct 29, 2022 | 16.78 Mn |
| Jul 30, 2022 | 11.96 Mn |
| Apr 30, 2022 | 16.17 Mn |
| Jan 29, 2022 | 121.67 Mn |
| Oct 30, 2021 | 13.62 Mn |
Burlington Stores Net Income 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=net-income&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();