Boot Barn Holdings (BOOT) EBITDA (2013 - 2025)
Boot Barn Holdings' EBITDA was $134.87 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), up 16.5% from $115.73 million a year earlier and up 77.8% from the prior quarter.
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Analysis
Boot Barn Holdings (BOOT) EBITDA (2013 - 2025) Analysis & Trends
On a trailing twelve-month basis, Boot Barn Holdings' EBITDA was $365.37 million through Dec 27, 2025, up 27.1% year-over-year; for FY2025 (ended Mar 29, 2025), it was $301.87 million, up 21.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $247.85 million in FY2024 (-7.4%), $267.79 million in FY2023 (-6.3%), $285.74 million in FY2022 (+158.5%) and $110.53 million in FY2021 (+16.2%).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q3 2014.
- Compared with a year earlier, EBITDA has increased for seven straight quarters, with growth averaging 17.9% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2022 (growth of 696.7%); the worst was fiscal Q4 2024 (a decline of 28.4%).
- Per Business Quant data, BOOT's EBITDA in the three fiscal quarters before Q3 2026 was $75.88 million (Q2 2026), $88.24 million (Q1 2026) and $66.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,806.29 Bn | 2,322.99 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 310.94 Bn | 304.18 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.52 Bn | 139.06 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.34 Bn | 102.30 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.89 Bn | 57.81 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.53 Bn | 72.61 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.79 Bn | 64.38 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.62 Bn | 50.52 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.22 Bn | 33.71 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Boot Barn Holdings | 3.50 Bn | 2.99 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 134.90 Mn |
| Sep 27, 2025 | 75.90 Mn |
| Jun 28, 2025 | 88.27 Mn |
| Mar 29, 2025 | 66.41 Mn |
| Dec 28, 2024 | 115.75 Mn |
| Sep 28, 2024 | 55.29 Mn |
| Jun 29, 2024 | 64.53 Mn |
| Mar 30, 2024 | 52.06 Mn |
| Dec 30, 2023 | 88.39 Mn |
| Sep 30, 2023 | 50.61 Mn |
| Jul 1, 2023 | 56.89 Mn |
| Apr 1, 2023 | 72.73 Mn |
| Dec 24, 2022 | 81.71 Mn |
| Sep 24, 2022 | 52.97 Mn |
| Jun 25, 2022 | 60.51 Mn |
| Mar 26, 2022 | 69.98 Mn |
| Dec 25, 2021 | 99.78 Mn |
| Sep 25, 2021 | 56.98 Mn |
| Jun 26, 2021 | 60.88 Mn |
| Mar 27, 2021 | 39.30 Mn |
API Access
Boot Barn Holdings EBITDA 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=ebitda&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();