Best Buy (BBY) Change in Accured Expenses (2017 - 2026)
Best Buy's Change in Accured Expenses came in at $237 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 211.8% from $76 million a year earlier.
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Analysis
Best Buy (BBY) Change in Accured Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Best Buy reported Change in Accured Expenses of $13 million; for FY2026 (ended Jan 31, 2026), it was -$199 million.
- Going back by fiscal year, Change in Accured Expenses was -$150 million in FY2025, -$174 million in FY2024, -$483 million in FY2023 and $479 million in FY2022 (-3.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Change in Accured Expenses since fiscal Q4 2025.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 71.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2027 (growth of 211.8%), and the weakest in fiscal Q2 2023 (a decline of 70.7%).
- Business Quant data shows BBY's Change in Accured Expenses at -$311 million (Q1 2027), $141 million (Q4 2026) and -$54 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 111.71 Mn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 199.00 Mn |
| 10 | Best Buy | 21.06 Bn | 14.39 Bn | 2.34 Bn | 237.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 237.00 Mn |
| May 2, 2026 | -311.00 Mn |
| Jan 31, 2026 | 141.00 Mn |
| Nov 1, 2025 | -54.00 Mn |
| Aug 2, 2025 | 76.00 Mn |
| May 3, 2025 | -362.00 Mn |
| Feb 1, 2025 | 247.00 Mn |
| Nov 2, 2024 | -131.00 Mn |
| Aug 3, 2024 | 51.00 Mn |
| May 4, 2024 | -317.00 Mn |
| Feb 3, 2024 | 146.00 Mn |
| Oct 28, 2023 | -75.00 Mn |
| Jul 29, 2023 | 42.00 Mn |
| Apr 29, 2023 | -287.00 Mn |
| Jan 28, 2023 | 278.00 Mn |
| Oct 29, 2022 | -116.00 Mn |
| Jul 30, 2022 | 68.00 Mn |
| Apr 30, 2022 | -713.00 Mn |
| Jan 29, 2022 | 265.00 Mn |
| Oct 30, 2021 | 286.00 Mn |
API Access
Best Buy 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=BBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BBY", "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=BBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();