Buckle (BKE) Change in Accured Expenses (2009 - 2026)
Buckle (BKE) reported Change in Accured Expenses of $14.66 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.0% from $14.8 million a year earlier.
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Analysis
Buckle (BKE) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Buckle's Change in Accured Expenses came in at $2.98 million, down 46.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.24 million.
- Change in Accured Expenses has a five-year compound annual growth rate of -8.6% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at -$3.11 million in FY2025, -$5.66 million in FY2024, -$6.57 million in FY2023 and $26.19 million in FY2022 (+102.5%).
- Five-year quarterly Change in Accured Expenses spans a low of -$38.96 million in fiscal Q1 2023 and a high of $19.83 million in fiscal Q4 2026.
- Year over year, Change in Accured Expenses gained in four of the last six quarters, with growth averaging 14.1%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2023 (growth of 463.7%); the low point was fiscal Q3 2022 (a decline of 85.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$36.61 million (Q1 2027), $19.83 million (Q4 2026) and $5.1 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Buckle | 2.21 Bn | 1.02 Bn | 153.02 Mn | 14.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 14.66 Mn |
| May 2, 2026 | -36.61 Mn |
| Jan 31, 2026 | 19.83 Mn |
| Nov 1, 2025 | 5.10 Mn |
| Aug 2, 2025 | 14.80 Mn |
| May 3, 2025 | -31.49 Mn |
| Feb 1, 2025 | 19.62 Mn |
| Nov 2, 2024 | 2.62 Mn |
| Aug 3, 2024 | 10.71 Mn |
| May 4, 2024 | -36.06 Mn |
| Feb 3, 2024 | 15.04 Mn |
| Oct 28, 2023 | 12.43 Mn |
| Jul 29, 2023 | 4.42 Mn |
| Apr 29, 2023 | -37.55 Mn |
| Jan 28, 2023 | 11.31 Mn |
| Oct 29, 2022 | 14.67 Mn |
| Jul 30, 2022 | 6.41 Mn |
| Apr 30, 2022 | -38.96 Mn |
| Jan 29, 2022 | 12.58 Mn |
| Oct 30, 2021 | 2.60 Mn |
API Access
Buckle Change in Accured Expenses 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=change-in-accured-expenses&ticker=BKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();