Burlington Stores (BURL) Non Operating Interest Expenses (2012 - 2026)
Burlington Stores (BURL) recorded Non Operating Interest Expenses of $19.66 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.8% from $17.43 million a year earlier and up 19.2% from the prior quarter.
Burlington Stores (BURL) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Burlington Stores' Non Operating Interest Expenses came in at $73.96 million as of Aug 1, 2026, up 6.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $71.04 million, up 2.2% from FY2025.
- Across earlier fiscal years, Non Operating Interest Expenses came in at $69.52 million in FY2025 (-11.3%) and $78.4 million in FY2024.
- The fiscal Q2 2027 figure is the highest quarterly Non Operating Interest Expenses since fiscal Q2 2015.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 6.4% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at $16.5 million (Q1 2027), $18.65 million (Q4 2026) and $19.15 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Burlington Stores | 16.78 Bn | 13.52 Bn | 1.39 Bn | 19.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 19.66 Mn |
| May 2, 2026 | 16.50 Mn |
| Jan 31, 2026 | 18.65 Mn |
| Nov 1, 2025 | 19.15 Mn |
| Aug 2, 2025 | 17.43 Mn |
| May 3, 2025 | 15.81 Mn |
| Feb 1, 2025 | 18.52 Mn |
| Nov 2, 2024 | 17.77 Mn |
| Oct 31, 2015 | 14.79 Mn |
| Aug 1, 2015 | 14.60 Mn |
| May 2, 2015 | 14.80 Mn |
| Jan 31, 2015 | 15.02 Mn |
| Nov 1, 2014 | 16.62 Mn |
| Aug 2, 2014 | 25.55 Mn |
| May 3, 2014 | 26.55 Mn |
| Feb 1, 2014 | 27.39 Mn |
| Nov 2, 2013 | 32.72 Mn |
| Aug 3, 2013 | 33.33 Mn |
| May 4, 2013 | 34.30 Mn |
| Feb 2, 2013 | 29.40 Mn |
Burlington Stores Non Operating Interest 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=non-operating-interest-expenses&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();