Burlington Stores (BURL) Retained Earnings (2012 - 2026)
Burlington Stores (BURL) posted Retained Earnings of $2.4 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 42.4% from $1.68 billion a year earlier and up 8.3% from the prior quarter.
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Analysis
Burlington Stores (BURL) Retained Earnings (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Burlington Stores' Retained Earnings came in at $2.1 billion, up 41.0% from FY2025.
- Annual Retained Earnings has increased for four consecutive fiscal years.
- In prior fiscal years, Burlington Stores' Retained Earnings was $1.49 billion in FY2025 (+51.2%), $984.06 million in FY2024 (+52.7%), $644.42 million in FY2023 (+55.5%) and $414.29 million in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q3 2013.
- On a year-over-year basis, Retained Earnings has increased in each of the last 18 quarters, with growth averaging 47.4% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 39.3% (fiscal Q1 2027) and 143.9% (fiscal Q1 2023) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $2.21 billion (Q1 2027), $2.1 billion (Q4 2026) and $1.79 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -3.75 Bn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 2.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.40 Bn |
| May 2, 2026 | 2.21 Bn |
| Jan 31, 2026 | 2.10 Bn |
| Nov 1, 2025 | 1.79 Bn |
| Aug 2, 2025 | 1.68 Bn |
| May 3, 2025 | 1.59 Bn |
| Feb 1, 2025 | 1.49 Bn |
| Nov 2, 2024 | 1.23 Bn |
| Aug 3, 2024 | 1.14 Bn |
| May 4, 2024 | 1.06 Bn |
| Feb 3, 2024 | 984.06 Mn |
| Oct 28, 2023 | 756.61 Mn |
| Jul 29, 2023 | 708.06 Mn |
| Apr 29, 2023 | 677.16 Mn |
| Jan 28, 2023 | 644.42 Mn |
| Oct 29, 2022 | 459.22 Mn |
| Jul 30, 2022 | 442.43 Mn |
| Apr 30, 2022 | 430.47 Mn |
| Jan 29, 2022 | 414.29 Mn |
| Oct 30, 2021 | 292.66 Mn |
API Access
Burlington Stores Retained Earnings 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=retained-earnings&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();