Boot Barn Holdings (BOOT) Total Current Liabilities (2014 - 2026)
Boot Barn Holdings (BOOT) reported Total Current Liabilities of $460.72 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 11.7% from $412.42 million a year earlier and up 6.6% from the prior quarter.
Boot Barn Holdings (BOOT) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Boot Barn Holdings posted Total Current Liabilities of $390.97 million, up 10.6% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $353.35 million in FY2025 (+13.0%), $312.81 million in FY2024 (-16.5%), $374.84 million in FY2023 (+11.4%) and $336.47 million in FY2022 (+51.8%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Current Liabilities since fiscal Q2 2023.
- Year over year, Total Current Liabilities has now increased in each of the last ten quarters, with growth averaging 13.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2023 (growth of 71.6%); the low point was fiscal Q2 2024 (a decline of 31.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $432.33 million (Q1 2027), $390.97 million (Q4 2026) and $441.41 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 257.98 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 2.13 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 10.11 Bn |
| 10 | Boot Barn Holdings | 4.06 Bn | 3.48 Bn | 216.49 Mn | 460.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 460.72 Mn |
| Jun 27, 2026 | 432.33 Mn |
| Mar 28, 2026 | 390.97 Mn |
| Dec 27, 2025 | 441.41 Mn |
| Sep 27, 2025 | 412.42 Mn |
| Jun 28, 2025 | 358.65 Mn |
| Mar 29, 2025 | 353.35 Mn |
| Dec 28, 2024 | 409.05 Mn |
| Sep 28, 2024 | 358.41 Mn |
| Jun 29, 2024 | 323.12 Mn |
| Mar 30, 2024 | 312.81 Mn |
| Dec 30, 2023 | 343.60 Mn |
| Sep 30, 2023 | 328.83 Mn |
| Jul 1, 2023 | 313.09 Mn |
| Apr 1, 2023 | 374.84 Mn |
| Dec 24, 2022 | 445.02 Mn |
| Sep 24, 2022 | 481.36 Mn |
| Jun 25, 2022 | 390.86 Mn |
| Mar 26, 2022 | 336.47 Mn |
| Dec 25, 2021 | 388.37 Mn |
Boot Barn Holdings Total Current 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-current-liabilities&ticker=BOOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();