Buckle (BKE) Total Liabilities (2010 - 2026)
Buckle's Total Liabilities was $605.76 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.6% from $552.48 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Buckle (BKE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Buckle came in at $566.64 million, up 15.8% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $489.37 million in FY2025 (+2.7%), $476.59 million in FY2024 (+3.3%), $461.27 million in FY2023 (-1.4%) and $467.96 million in FY2022 (+4.2%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 11.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2026 (growth of 16.3%); the worst was fiscal Q1 2023 (a decline of 8.5%).
- Per Business Quant data, BKE's Total Liabilities in the three fiscal quarters before Q2 2027 was $589.92 million (Q1 2027), $566.64 million (Q4 2026) and $567.64 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Buckle | 2.22 Bn | 1.03 Bn | 153.02 Mn | 605.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 605.76 Mn |
| May 2, 2026 | 589.92 Mn |
| Jan 31, 2026 | 566.64 Mn |
| Nov 1, 2025 | 567.64 Mn |
| Aug 2, 2025 | 552.48 Mn |
| May 3, 2025 | 532.06 Mn |
| Feb 1, 2025 | 489.37 Mn |
| Nov 2, 2024 | 487.88 Mn |
| Aug 3, 2024 | 481.63 Mn |
| May 4, 2024 | 472.26 Mn |
| Feb 3, 2024 | 476.59 Mn |
| Oct 28, 2023 | 447.19 Mn |
| Jul 29, 2023 | 425.01 Mn |
| Apr 29, 2023 | 443.69 Mn |
| Jan 28, 2023 | 461.27 Mn |
| Oct 29, 2022 | 448.54 Mn |
| Jul 30, 2022 | 420.09 Mn |
| Apr 30, 2022 | 435.44 Mn |
| Jan 29, 2022 | 467.96 Mn |
| Oct 30, 2021 | 468.03 Mn |
API Access
Buckle Total Liabilities 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=total-liabilities&ticker=BKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();