Boot Barn Holdings (BOOT) Change in Accured Expenses (2013 - 2025)
Boot Barn Holdings (BOOT) reported Change in Accured Expenses of $69.71 million for fiscal Q3 2026 (quarter ended Dec 27, 2025), down 1.5% from $70.78 million a year earlier but up 557.4% from the prior quarter.
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Analysis
Boot Barn Holdings (BOOT) Change in Accured Expenses (2013 - 2025) Analysis & Trends
Over the twelve months ended Dec 27, 2025, Boot Barn Holdings' Change in Accured Expenses came in at $14 million, down 69.6% year-over-year; for FY2025 (ended Mar 29, 2025), it was $17.99 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- By fiscal year, Change in Accured Expenses came in at -$6.21 million in FY2024, -$18.54 million in FY2023, $45.23 million in FY2022 (+80.9%) and $25 million in FY2021 (+296.2%).
- Five-year quarterly Change in Accured Expenses spans a low of -$62.69 million in fiscal Q4 2025 and a high of $70.78 million in fiscal Q3 2025.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 89.9%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $10.6 million (Q2 2026), -$3.62 million (Q1 2026) and -$62.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | - |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 199.00 Mn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Boot Barn Holdings | 3.65 Bn | 3.15 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 69.71 Mn |
| Sep 27, 2025 | 10.60 Mn |
| Jun 28, 2025 | -3.62 Mn |
| Mar 29, 2025 | -62.69 Mn |
| Dec 28, 2024 | 70.78 Mn |
| Sep 28, 2024 | 16.01 Mn |
| Jun 29, 2024 | -6.11 Mn |
| Mar 30, 2024 | -34.68 Mn |
| Dec 30, 2023 | 14.88 Mn |
| Sep 30, 2023 | 13.44 Mn |
| Jul 1, 2023 | 158,000.00 |
| Apr 1, 2023 | -51.33 Mn |
| Dec 24, 2022 | 59.98 Mn |
| Sep 24, 2022 | -5.68 Mn |
| Jun 25, 2022 | -21.52 Mn |
| Mar 26, 2022 | -28.26 Mn |
| Dec 25, 2021 | 58.86 Mn |
| Sep 25, 2021 | -4.44 Mn |
| Jun 26, 2021 | 19.07 Mn |
| Mar 27, 2021 | -17.22 Mn |
API Access
Boot Barn Holdings Change in Accured 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=change-in-accured-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();