Boot Barn Holdings (BOOT) Total Liabilities (2014 - 2026)
Boot Barn Holdings' Total Liabilities came in at $1.28 billion for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 21.7% from $1.05 billion a year earlier and up 5.7% from the prior quarter.
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Analysis
Boot Barn Holdings (BOOT) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Boot Barn Holdings' Total Liabilities was $1.13 billion, up 27.6% from FY2025.
- Total Liabilities has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 16.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $886.96 million in FY2025 (+16.4%), $761.95 million in FY2024 (+2.8%), $740.93 million in FY2023 (+23.5%) and $600.18 million in FY2022 (+11.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2014.
- Year-over-year, Total Liabilities has increased for 11 consecutive quarters, with growth averaging 22.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 46.0%), and the weakest in fiscal Q2 2024 (a decline of 10.6%).
- Business Quant data shows BOOT's Total Liabilities at $1.21 billion (Q1 2027), $1.13 billion (Q4 2026) and $1.12 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 629.79 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 9.54 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 24.13 Bn |
| 10 | Boot Barn Holdings | 4.06 Bn | 3.48 Bn | 216.49 Mn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.28 Bn |
| Jun 27, 2026 | 1.21 Bn |
| Mar 28, 2026 | 1.13 Bn |
| Dec 27, 2025 | 1.12 Bn |
| Sep 27, 2025 | 1.05 Bn |
| Jun 28, 2025 | 922.42 Mn |
| Mar 29, 2025 | 886.96 Mn |
| Dec 28, 2024 | 922.45 Mn |
| Sep 28, 2024 | 850.12 Mn |
| Jun 29, 2024 | 792.64 Mn |
| Mar 30, 2024 | 761.95 Mn |
| Dec 30, 2023 | 762.56 Mn |
| Sep 30, 2023 | 725.82 Mn |
| Jul 1, 2023 | 692.77 Mn |
| Apr 1, 2023 | 740.93 Mn |
| Dec 24, 2022 | 783.24 Mn |
| Sep 24, 2022 | 812.01 Mn |
| Jun 25, 2022 | 681.68 Mn |
| Mar 26, 2022 | 600.18 Mn |
| Dec 25, 2021 | 634.70 Mn |
API Access
Boot Barn Holdings Total Liabilities 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=total-liabilities&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();