Boot Barn Holdings (BOOT) Inventory (2014 - 2026)
Boot Barn Holdings' Inventory was $844.64 million in fiscal Q4 2026 (quarter ended Mar 28, 2026), up 13.0% from $747.19 million a year earlier and up 4.9% from the prior quarter.
Boot Barn Holdings (BOOT) Inventory (2014 - 2026) Analysis & Trends
From fiscal Q4 2014 onward, Boot Barn Holdings has reported Inventory for 48 quarters.
- Inventory has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 25.1% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $747.19 million in FY2025 (+24.7%), $599.12 million in FY2024 (+1.6%), $589.49 million in FY2023 (+24.3%) and $474.3 million in FY2022 (+72.0%).
- Quarterly Inventory has moved between $296.76 million (fiscal Q1 2022) and $855.1 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Inventory has increased for nine straight quarters, with growth averaging 19.1% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2023 (growth of 83.0%); the worst was fiscal Q2 2024 (a decline of 8.6%).
- Per Business Quant data, BOOT's Inventory in the three fiscal quarters before Q4 2026 was $805.47 million (Q3 2026), $855.1 million (Q2 2026) and $774.06 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Boot Barn Holdings | 3.53 Bn | 3.02 Bn | - | 844.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 844.64 Mn |
| Dec 27, 2025 | 805.47 Mn |
| Sep 27, 2025 | 855.10 Mn |
| Jun 28, 2025 | 774.06 Mn |
| Mar 29, 2025 | 747.19 Mn |
| Dec 28, 2024 | 690.29 Mn |
| Sep 28, 2024 | 712.99 Mn |
| Jun 29, 2024 | 627.11 Mn |
| Mar 30, 2024 | 599.12 Mn |
| Dec 30, 2023 | 563.38 Mn |
| Sep 30, 2023 | 585.57 Mn |
| Jul 1, 2023 | 566.29 Mn |
| Apr 1, 2023 | 589.49 Mn |
| Dec 24, 2022 | 592.15 Mn |
| Sep 24, 2022 | 641.02 Mn |
| Jun 25, 2022 | 534.38 Mn |
| Mar 26, 2022 | 474.30 Mn |
| Dec 25, 2021 | 385.64 Mn |
| Sep 25, 2021 | 350.27 Mn |
| Jun 26, 2021 | 296.76 Mn |
Boot Barn Holdings Inventory 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=inventory&ticker=BOOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();