Burlington Stores (BURL) Other Non Operating Income (2012 - 2026)
Burlington Stores' Other Non Operating Income was $4.16 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 176.0% from $1.51 million a year earlier and up 186.8% from the prior quarter.
Burlington Stores (BURL) Other Non Operating Income (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Burlington Stores' Other Non Operating Income was $29.88 million through Aug 1, 2026, up 70.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $31.29 million, up 87.4% from FY2025.
- Other Non Operating Income shows a five-year compound annual growth rate of 30.2% (FY2021 to FY2026).
- In earlier fiscal years, Other Non Operating Income was $16.69 million in FY2025, -$38.27 million in FY2024, $26.91 million in FY2023 and -$156.02 million in FY2022.
- Quarterly Other Non Operating Income has moved between -$86.36 million (fiscal Q3 2022) and $21.96 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Other Non Operating Income was higher in two of the last six quarters, with growth averaging 46.5%.
- The best year-over-year quarter for Other Non Operating Income over five years was fiscal Q4 2026 (growth of 370.7%); the worst was fiscal Q2 2026 (a decline of 84.1%).
- Per Business Quant data, BURL's Other Non Operating Income in the three fiscal quarters before Q2 2027 was $1.45 million (Q1 2027), $21.96 million (Q4 2026) and $2.31 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 | 4.16 Mn |
| May 2, 2026 | 1.45 Mn |
| Jan 31, 2026 | 21.96 Mn |
| Nov 1, 2025 | 2.31 Mn |
| Aug 2, 2025 | 1.51 Mn |
| May 3, 2025 | 5.51 Mn |
| Feb 1, 2025 | 4.67 Mn |
| Nov 2, 2024 | 5.87 Mn |
| Aug 3, 2024 | 9.49 Mn |
| May 4, 2024 | 10.86 Mn |
| Oct 28, 2023 | -13.63 Mn |
| Jul 29, 2023 | 6.17 Mn |
| Apr 29, 2023 | -24.64 Mn |
| Jan 28, 2023 | 8.07 Mn |
| Oct 29, 2022 | 2.83 Mn |
| Jul 30, 2022 | 12.61 Mn |
| Apr 30, 2022 | -14.66 Mn |
| Jan 29, 2022 | -38.26 Mn |
| Oct 30, 2021 | -86.36 Mn |
| Jul 31, 2021 | -31.40 Mn |
Burlington Stores Other Non Operating 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=other-non-operating-income&ticker=BURL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-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=other-non-operating-income&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();