Boot Barn Holdings (BOOT) Operating Expenses (2013 - 2025)
Boot Barn Holdings' Operating Expenses was $166.46 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), up 19.4% from $139.41 million a year earlier and up 30.3% from the prior quarter.
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Analysis
Boot Barn Holdings (BOOT) Operating Expenses (2013 - 2025) Analysis & Trends
On a trailing twelve-month basis, Boot Barn Holdings' Operating Expenses was $539.56 million through Dec 27, 2025, up 17.3% year-over-year; for FY2025 (ended Mar 29, 2025), it was $477.69 million, up 14.8% from FY2024.
- Operating Expenses has now increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $416.21 million in FY2024 (+9.9%), $378.79 million in FY2023 (+19.6%), $316.74 million in FY2022 (+51.9%) and $208.55 million in FY2021 (+2.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q2 2014.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 15.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 7.5% in fiscal Q3 2024 to 63.5% in fiscal Q1 2022.
- Per Business Quant data, BOOT's Operating Expenses in the three fiscal quarters before Q3 2026 was $127.73 million (Q2 2026), $126.5 million (Q1 2026) and $118.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Boot Barn Holdings | 3.53 Bn | 3.02 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 166.46 Mn |
| Sep 27, 2025 | 127.73 Mn |
| Jun 28, 2025 | 126.50 Mn |
| Mar 29, 2025 | 118.88 Mn |
| Dec 28, 2024 | 139.41 Mn |
| Sep 28, 2024 | 112.88 Mn |
| Jun 29, 2024 | 106.53 Mn |
| Mar 30, 2024 | 101.19 Mn |
| Dec 30, 2023 | 123.96 Mn |
| Sep 30, 2023 | 95.34 Mn |
| Jul 1, 2023 | 95.72 Mn |
| Apr 1, 2023 | 93.12 Mn |
| Dec 24, 2022 | 115.32 Mn |
| Sep 24, 2022 | 84.95 Mn |
| Jun 25, 2022 | 85.41 Mn |
| Mar 26, 2022 | 86.45 Mn |
| Dec 25, 2021 | 99.47 Mn |
| Sep 25, 2021 | 68.04 Mn |
| Jun 26, 2021 | 62.78 Mn |
| Mar 27, 2021 | 59.52 Mn |
API Access
Boot Barn Holdings Operating 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=operating-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BOOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();