Burlington Stores (BURL) Cost of Revenue (2012 - 2026)
Burlington Stores' Cost of Revenue was $1.61 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.2% from $1.52 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Burlington Stores (BURL) Cost of Revenue (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Burlington Stores' Cost of Revenue was $6.77 billion through Aug 1, 2026, up 9.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $6.49 billion, up 7.7% from FY2025.
- Cost of Revenue has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $6.03 billion in FY2025 (+7.9%), $5.58 billion in FY2024 (+8.0%), $5.17 billion in FY2023 (-4.9%) and $5.44 billion in FY2022 (+52.9%).
- Quarterly Cost of Revenue has moved between $1.14 billion (fiscal Q1 2023) and $2.05 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 15 straight quarters, with growth averaging 7.9% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q3 2022 (growth of 47.1%); the worst was fiscal Q3 2023 (a decline of 11.1%).
- Per Business Quant data, BURL's Cost of Revenue in the three fiscal quarters before Q2 2027 was $1.59 billion (Q1 2027), $2.05 billion (Q4 2026) and $1.51 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Burlington Stores | 17.31 Bn | 14.04 Bn | 1.39 Bn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.61 Bn |
| May 2, 2026 | 1.59 Bn |
| Jan 31, 2026 | 2.05 Bn |
| Nov 1, 2025 | 1.51 Bn |
| Aug 2, 2025 | 1.52 Bn |
| May 3, 2025 | 1.41 Bn |
| Feb 1, 2025 | 1.87 Bn |
| Nov 2, 2024 | 1.42 Bn |
| Aug 3, 2024 | 1.41 Bn |
| May 4, 2024 | 1.33 Bn |
| Feb 3, 2024 | 1.79 Bn |
| Oct 28, 2023 | 1.30 Bn |
| Jul 29, 2023 | 1.27 Bn |
| Apr 29, 2023 | 1.23 Bn |
| Jan 28, 2023 | 1.63 Bn |
| Oct 29, 2022 | 1.20 Bn |
| Jul 30, 2022 | 1.21 Bn |
| Apr 30, 2022 | 1.14 Bn |
| Jan 29, 2022 | 1.57 Bn |
| Oct 30, 2021 | 1.35 Bn |
API Access
Burlington Stores Cost of Revenue 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=cost-of-revenue&ticker=BURL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BURL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();