Macy's (M) Change in Accrued Expenses (2009 - 2026)
Macy's' Change in Accured Expenses came in at -$92 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$61 million a year earlier.
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Analysis
Macy's (M) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Macy's reported Change in Accured Expenses of -$67 million; for FY2026 (ended Jan 31, 2026), it was -$83 million.
- Going back by fiscal year, Change in Accured Expenses was -$49 million in FY2025, -$266 million in FY2024, -$133 million in FY2023 and $245 million in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$424 million (fiscal Q1 2023) to $212 million (fiscal Q3 2026).
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 94.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2025 (growth of 336.1%), and the weakest in fiscal Q4 2024 (a decline of 78.4%).
- Business Quant data shows M's Change in Accured Expenses at -$297 million (Q1 2027), $110 million (Q4 2026) and $212 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | - |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 595.00 Mn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | - |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | - |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 113.00 Mn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 111.08 Mn |
| 10 | Macy's | 6.60 Bn | 2.31 Bn | 2.21 Bn | -92.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -92.00 Mn |
| May 2, 2026 | -297.00 Mn |
| Jan 31, 2026 | 110.00 Mn |
| Nov 1, 2025 | 212.00 Mn |
| Aug 2, 2025 | -61.00 Mn |
| May 3, 2025 | -344.00 Mn |
| Feb 1, 2025 | 157.00 Mn |
| Nov 2, 2024 | 163.00 Mn |
| Aug 3, 2024 | -80.00 Mn |
| May 4, 2024 | -289.00 Mn |
| Feb 3, 2024 | 36.00 Mn |
| Oct 28, 2023 | 116.00 Mn |
| Jul 29, 2023 | -3.00 Mn |
| Apr 29, 2023 | -415.00 Mn |
| Jan 28, 2023 | 167.00 Mn |
| Oct 29, 2022 | 155.00 Mn |
| Jul 30, 2022 | -31.00 Mn |
| Apr 30, 2022 | -424.00 Mn |
| Jan 29, 2022 | 172.00 Mn |
| Oct 30, 2021 | 151.00 Mn |
API Access
Macy's Change in Accrued 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=M&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "M", "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=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();