Boot Barn Holdings (BOOT) Operating Leases (2019 - 2026)
Boot Barn Holdings (BOOT) recorded Operating Leases of $759.1 million in fiscal Q2 2027 (quarter ended Sep 26, 2026), up 28.4% from $591.09 million a year earlier and up 5.8% from the prior quarter.
Powered by 
Analysis
Boot Barn Holdings (BOOT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Boot Barn Holdings reported Operating Leases of $683.74 million, up 39.5% from FY2025.
- Annual Operating Leases has increased for six straight fiscal years, with a five-year compound annual growth rate of 30.3% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $490.18 million in FY2025 (+21.5%), $403.3 million in FY2024 (+22.2%), $330.08 million in FY2023 (+40.7%) and $234.58 million in FY2022 (+29.0%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased for 26 consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Leases ranged from 19.2% (fiscal Q2 2024) to 44.8% (fiscal Q2 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $717.49 million (Q1 2027), $683.74 million (Q4 2026) and $624.91 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn |
| 10 | Boot Barn Holdings | 4.06 Bn | 3.48 Bn | 216.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 759.10 Mn |
| Jun 27, 2026 | 717.49 Mn |
| Mar 28, 2026 | 683.74 Mn |
| Dec 27, 2025 | 624.91 Mn |
| Sep 27, 2025 | 591.09 Mn |
| Jun 28, 2025 | 520.30 Mn |
| Mar 29, 2025 | 490.18 Mn |
| Dec 28, 2024 | 471.15 Mn |
| Sep 28, 2024 | 446.07 Mn |
| Jun 29, 2024 | 423.37 Mn |
| Mar 30, 2024 | 403.30 Mn |
| Dec 30, 2023 | 375.35 Mn |
| Sep 30, 2023 | 357.48 Mn |
| Jul 1, 2023 | 342.46 Mn |
| Apr 1, 2023 | 330.08 Mn |
| Dec 24, 2022 | 308.17 Mn |
| Sep 24, 2022 | 299.80 Mn |
| Jun 25, 2022 | 259.98 Mn |
| Mar 26, 2022 | 234.58 Mn |
| Dec 25, 2021 | 218.92 Mn |
API Access
Boot Barn Holdings Operating Leases 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=operating-leases&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();