Boot Barn Holdings (BOOT) Cash & Equivalents (2013 - 2026)
Boot Barn Holdings (BOOT) posted Cash & Equivalents of $141.04 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), up 102.1% from $69.77 million a year earlier but down 29.5% from the prior quarter.
Boot Barn Holdings (BOOT) Cash & Equivalents (2013 - 2026) Analysis & Trends
Since fiscal Q2 2014, Boot Barn Holdings has reported Cash & Equivalents for 51 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In prior fiscal years, Boot Barn Holdings' Cash & Equivalents was $69.77 million in FY2025 (-8.0%), $75.85 million in FY2024 (+316.9%), $18.19 million in FY2023 (-12.0%) and $20.67 million in FY2022 (-71.7%).
- Quarterly Cash & Equivalents has run from a low of $16.01 million in fiscal Q1 2023 to a high of $200.07 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 79.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2025, with growth of 387.7%; the weakest was fiscal Q4 2022, with a decline of 71.7%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $200.07 million (Q3 2026), $64.73 million (Q2 2026) and $95.32 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,719.60 Bn | 2,236.30 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 322.94 Bn | 316.18 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.61 Bn | 140.15 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 113.73 Bn | 106.70 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 75.25 Bn | 74.34 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 74.74 Bn | 57.66 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 70.10 Bn | 64.69 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.28 Bn | 52.18 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 42.39 Bn | 32.88 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Boot Barn Holdings | 3.60 Bn | 3.10 Bn | - | 141.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 141.04 Mn |
| Dec 27, 2025 | 200.07 Mn |
| Sep 27, 2025 | 64.73 Mn |
| Jun 28, 2025 | 95.32 Mn |
| Mar 29, 2025 | 69.77 Mn |
| Dec 28, 2024 | 152.91 Mn |
| Sep 28, 2024 | 37.38 Mn |
| Jun 29, 2024 | 83.39 Mn |
| Mar 30, 2024 | 75.85 Mn |
| Dec 30, 2023 | 107.17 Mn |
| Sep 30, 2023 | 38.67 Mn |
| Jul 1, 2023 | 17.10 Mn |
| Apr 1, 2023 | 18.19 Mn |
| Dec 24, 2022 | 50.39 Mn |
| Sep 24, 2022 | 19.69 Mn |
| Jun 25, 2022 | 16.01 Mn |
| Mar 26, 2022 | 20.67 Mn |
| Dec 25, 2021 | 114.71 Mn |
| Sep 25, 2021 | 39.55 Mn |
| Jun 26, 2021 | 49.64 Mn |
Boot Barn Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=BOOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BOOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();