Burlington Stores (BURL) Tax Provisions (2012 - 2026)
Burlington Stores (BURL) reported Tax Provisions of $57.81 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 74.5% from $33.14 million a year earlier and up 107.0% from the prior quarter.
Burlington Stores (BURL) Tax Provisions (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Burlington Stores' Tax Provisions came in at $226.51 million, up 26.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $205.97 million, up 20.3% from FY2025.
- Tax Provisions has increased for three consecutive fiscal years.
- By fiscal year, Tax Provisions came in at $171.18 million in FY2025 (+35.7%), $126.12 million in FY2024 (+63.0%), $77.39 million in FY2023 (-43.3%) and $136.46 million in FY2022.
- Five-year quarterly Tax Provisions spans a low of $1.53 million in fiscal Q1 2023 and a high of $107.47 million in fiscal Q4 2026.
- Year over year, Tax Provisions gained in seven of the last eight quarters, with growth averaging 23.5%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2024 (growth of 591.5%); the low point was fiscal Q1 2023 (a decline of 96.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $27.93 million (Q1 2027), $107.47 million (Q4 2026) and $33.31 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 57.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 57.81 Mn |
| May 2, 2026 | 27.93 Mn |
| Jan 31, 2026 | 107.47 Mn |
| Nov 1, 2025 | 33.31 Mn |
| Aug 2, 2025 | 33.14 Mn |
| May 3, 2025 | 32.04 Mn |
| Feb 1, 2025 | 86.68 Mn |
| Nov 2, 2024 | 27.44 Mn |
| Aug 3, 2024 | 25.91 Mn |
| May 4, 2024 | 31.13 Mn |
| Feb 3, 2024 | 86.11 Mn |
| Oct 28, 2023 | 18.34 Mn |
| Jul 29, 2023 | 11.10 Mn |
| Apr 29, 2023 | 10.60 Mn |
| Jan 28, 2023 | 65.83 Mn |
| Oct 29, 2022 | 6.04 Mn |
| Jul 30, 2022 | 4.00 Mn |
| Apr 30, 2022 | 1.53 Mn |
| Jan 29, 2022 | 56.66 Mn |
| Oct 30, 2021 | 17.92 Mn |
Burlington Stores Tax Provisions 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=tax-provisions&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();