Boot Barn Holdings (BOOT) Depreciation and Depletion (2013 - 2025)
Boot Barn Holdings (BOOT) recorded Depreciation and Depletion of $20.09 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), up 23.6% from $16.26 million a year earlier and up 3.3% from the prior quarter.
Boot Barn Holdings (BOOT) Depreciation and Depletion (2013 - 2025) Analysis & Trends
On a TTM basis, Boot Barn Holdings' Depreciation and Depletion came in at $73.76 million as of Dec 27, 2025, up 23.9% year-over-year; for FY2025 (ended Mar 29, 2025), it was $62.5 million, up 26.2% from FY2024.
- Annual Depreciation and Depletion has increased for 12 straight fiscal years, with a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $49.53 million in FY2024 (+38.0%), $35.9 million in FY2023 (+31.5%), $27.3 million in FY2022 (+13.3%) and $24.1 million in FY2021 (+13.6%).
- The fiscal Q3 2026 figure is the highest quarterly Depreciation and Depletion in data going back to fiscal Q3 2014.
- On a year-over-year basis, Depreciation and Depletion has increased for 45 consecutive quarters, with growth averaging 27.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation and Depletion ranged from 6.1% (fiscal Q4 2021) to 43.9% (fiscal Q3 2024).
- Per Business Quant, the preceding three fiscal quarters came in at $19.45 million (Q2 2026), $17.52 million (Q1 2026) and $16.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | - |
| 10 | Boot Barn Holdings | 3.54 Bn | 3.03 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 20.09 Mn |
| Sep 27, 2025 | 19.45 Mn |
| Jun 28, 2025 | 17.52 Mn |
| Mar 29, 2025 | 16.70 Mn |
| Dec 28, 2024 | 16.26 Mn |
| Sep 28, 2024 | 15.27 Mn |
| Jun 29, 2024 | 14.27 Mn |
| Mar 30, 2024 | 13.73 Mn |
| Dec 30, 2023 | 13.20 Mn |
| Sep 30, 2023 | 11.99 Mn |
| Jul 1, 2023 | 10.60 Mn |
| Apr 1, 2023 | 9.93 Mn |
| Dec 24, 2022 | 9.18 Mn |
| Sep 24, 2022 | 8.77 Mn |
| Jun 25, 2022 | 8.02 Mn |
| Mar 26, 2022 | 7.50 Mn |
| Dec 25, 2021 | 6.93 Mn |
| Sep 25, 2021 | 6.72 Mn |
| Jun 26, 2021 | 6.15 Mn |
| Mar 27, 2021 | 6.18 Mn |
Boot Barn Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=BOOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();