Burlington Stores (BURL) Other Accumulated Expenses (2012 - 2026)
Burlington Stores' Other Accumulated Expenses was $632.39 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.7% from $656.71 million a year earlier and down 1.9% from the prior quarter.
Burlington Stores (BURL) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Accumulated Expenses at Burlington Stores came in at $734 million, up 11.8% from FY2025.
- Other Accumulated Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $656.58 million in FY2025 (+1.4%), $647.34 million in FY2024 (+19.6%), $541.41 million in FY2023 (+9.7%) and $493.7 million in FY2022 (-3.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Other Accumulated Expenses since fiscal Q1 2026.
- Compared with a year earlier, Other Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q2 2025 (growth of 32.5%); the worst was fiscal Q1 2023 (a decline of 25.1%).
- Per Business Quant data, BURL's Other Accumulated Expenses in the three fiscal quarters before Q2 2027 was $644.71 million (Q1 2027), $734 million (Q4 2026) and $659.56 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Burlington Stores | 17.31 Bn | 14.04 Bn | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 632.39 Mn |
| May 2, 2026 | 644.71 Mn |
| Jan 31, 2026 | 734.00 Mn |
| Nov 1, 2025 | 659.56 Mn |
| Aug 2, 2025 | 656.71 Mn |
| May 3, 2025 | 629.91 Mn |
| Feb 1, 2025 | 656.58 Mn |
| Nov 2, 2024 | 626.86 Mn |
| Aug 3, 2024 | 604.47 Mn |
| May 4, 2024 | 602.97 Mn |
| Feb 3, 2024 | 647.34 Mn |
| Oct 28, 2023 | 588.65 Mn |
| Jul 29, 2023 | 456.08 Mn |
| Apr 29, 2023 | 472.93 Mn |
| Jan 28, 2023 | 541.41 Mn |
| Oct 29, 2022 | 520.15 Mn |
| Jul 30, 2022 | 418.43 Mn |
| Apr 30, 2022 | 378.08 Mn |
| Jan 29, 2022 | 493.70 Mn |
| Oct 30, 2021 | 544.85 Mn |
Burlington Stores Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();