Macy's (M) Restructuring Costs (2009 - 2026)
Macy's (M) reported Restructuring Costs of $16 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 27.3% from $22 million a year earlier.
Macy's (M) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Macy's' Restructuring Costs came in at $200 million, up 9.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $230 million, up 34.5% from FY2025.
- Restructuring Costs has a five-year compound annual growth rate of -42.2% (FY2021 to FY2026).
- By fiscal year, Restructuring Costs came in at $171 million in FY2025 (-83.3%), $1.03 billion in FY2024, $41 million in FY2023 (+36.7%) and $30 million in FY2022 (-99.2%).
- Five-year quarterly Restructuring Costs spans a low of -$23 million in fiscal Q3 2025 and a high of $1.01 billion in fiscal Q4 2024.
- Year over year, Restructuring Costs gained in 1 of the last four quarters, with an average decline of 40.3%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q1 2025 (growth of 850.0%); the low point was fiscal Q4 2022 (a decline of 93.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$17 million (Q1 2027), $197 million (Q4 2026) and $4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Macy's | 6.01 Bn | 1.73 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.00 Mn |
| May 2, 2026 | -17.00 Mn |
| Jan 31, 2026 | 197.00 Mn |
| Nov 1, 2025 | 4.00 Mn |
| Aug 2, 2025 | 22.00 Mn |
| May 3, 2025 | 7.00 Mn |
| Feb 1, 2025 | 176.00 Mn |
| Nov 2, 2024 | -23.00 Mn |
| Aug 3, 2024 | -1.00 Mn |
| May 4, 2024 | 19.00 Mn |
| Feb 3, 2024 | 1.01 Bn |
| Oct 28, 2023 | 15.00 Mn |
| Jul 29, 2023 | 4.00 Mn |
| Apr 29, 2023 | 2.00 Mn |
| Jan 28, 2023 | 16.00 Mn |
| Oct 29, 2022 | 15.00 Mn |
| Jul 30, 2022 | 2.00 Mn |
| Apr 30, 2022 | 8.00 Mn |
| Jan 29, 2022 | 9.00 Mn |
| Jul 31, 2021 | 2.00 Mn |
Macy's Restructuring Costs 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=restructuring-costs&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();