Buckle (BKE) EBITDA (2009 - 2026)
Buckle's EBITDA came in at $62.78 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.5% from $62.47 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Buckle (BKE) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Buckle reported EBITDA of $303.68 million, up 10.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $286.86 million, up 8.5% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $264.36 million in FY2025 (-9.4%), $291.89 million in FY2024 (-15.9%), $346.99 million in FY2023 (-2.0%) and $354.19 million in FY2022 (+87.5%).
- The five-year range for quarterly EBITDA is $47.82 million (fiscal Q1 2025) to $115.2 million (fiscal Q4 2023).
- Year-over-year, EBITDA has increased for seven consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2022 (growth of 47.2%), and the weakest in fiscal Q1 2024 (a decline of 24.5%).
- Business Quant data shows BKE's EBITDA at $65.92 million (Q1 2027), $107.89 million (Q4 2026) and $67.09 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Buckle | 2.22 Bn | 1.03 Bn | 153.02 Mn | 62.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 62.78 Mn |
| May 2, 2026 | 65.92 Mn |
| Jan 31, 2026 | 107.89 Mn |
| Nov 1, 2025 | 67.09 Mn |
| Aug 2, 2025 | 62.47 Mn |
| May 3, 2025 | 49.41 Mn |
| Feb 1, 2025 | 102.62 Mn |
| Nov 2, 2024 | 59.99 Mn |
| Aug 3, 2024 | 53.93 Mn |
| May 4, 2024 | 47.82 Mn |
| Feb 3, 2024 | 102.48 Mn |
| Oct 28, 2023 | 69.01 Mn |
| Jul 29, 2023 | 61.82 Mn |
| Apr 29, 2023 | 58.58 Mn |
| Jan 28, 2023 | 115.20 Mn |
| Oct 29, 2022 | 83.83 Mn |
| Jul 30, 2022 | 70.41 Mn |
| Apr 30, 2022 | 77.55 Mn |
| Jan 29, 2022 | 114.26 Mn |
| Oct 30, 2021 | 86.55 Mn |
API Access
Buckle EBITDA 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=ebitda&ticker=BKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BKE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();