Boot Barn Holdings (BOOT) Accumulated Expenses (2014 - 2026)
Boot Barn Holdings (BOOT) reported Accumulated Expenses of $159.1 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), up 8.9% from $146.04 million a year earlier but down 26.0% from the prior quarter.
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Analysis
Boot Barn Holdings (BOOT) Accumulated Expenses (2014 - 2026) Analysis & Trends
Dating back to fiscal Q4 2014, Boot Barn Holdings' Accumulated Expenses record includes 48 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 15.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $146.04 million in FY2025 (+25.4%), $116.48 million in FY2024 (-5.3%), $122.96 million in FY2023 (-7.8%) and $133.41 million in FY2022 (+71.9%).
- Five-year quarterly Accumulated Expenses spans a low of $96.69 million in fiscal Q1 2022 and a high of $214.94 million in fiscal Q3 2026.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 13.5% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2022 (growth of 96.1%); the low point was fiscal Q3 2024 (a decline of 16.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $214.94 million (Q3 2026), $160.12 million (Q2 2026) and $140.45 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,834.62 Bn | 2,351.31 Bn | 104.83 Bn |
| 2 | Home Depot | 312.86 Bn | 306.10 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.06 Bn | 139.60 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.85 Bn | 102.82 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.44 Bn | 72.53 Bn | 2.52 Bn |
| 7 | Target | 70.13 Bn | 64.72 Bn | 8.94 Bn |
| 8 | Autozone | 51.77 Bn | 50.67 Bn | 2.52 Bn |
| 9 | Carvana | 43.51 Bn | 34.00 Bn | 1.38 Bn |
| 10 | Boot Barn Holdings | 3.53 Bn | 3.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 159.10 Mn |
| Dec 27, 2025 | 214.94 Mn |
| Sep 27, 2025 | 160.12 Mn |
| Jun 28, 2025 | 140.45 Mn |
| Mar 29, 2025 | 146.04 Mn |
| Dec 28, 2024 | 209.48 Mn |
| Sep 28, 2024 | 134.30 Mn |
| Jun 29, 2024 | 121.38 Mn |
| Mar 30, 2024 | 116.48 Mn |
| Dec 30, 2023 | 152.70 Mn |
| Sep 30, 2023 | 132.86 Mn |
| Jul 1, 2023 | 124.00 Mn |
| Apr 1, 2023 | 122.96 Mn |
| Dec 24, 2022 | 182.79 Mn |
| Sep 24, 2022 | 116.53 Mn |
| Jun 25, 2022 | 119.23 Mn |
| Mar 26, 2022 | 133.41 Mn |
| Dec 25, 2021 | 157.40 Mn |
| Sep 25, 2021 | 96.96 Mn |
| Jun 26, 2021 | 96.69 Mn |
API Access
Boot Barn Holdings Accumulated 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=accumulated-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();