Macy's (M) Cost of Revenue (2009 - 2026)
Macy's' Cost of Revenue was $2.85 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.8% from $2.9 billion a year earlier and down 0.4% from the prior quarter.
Macy's (M) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Macy's' Cost of Revenue was $13.51 billion through Aug 1, 2026, down 0.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $13.5 billion, down 1.8% from FY2025.
- Cost of Revenue has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $13.74 billion in FY2025 (-3.4%), $14.22 billion in FY2024 (-7.3%), $15.35 billion in FY2023 (+2.5%) and $14.97 billion in FY2022 (+21.9%).
- The fiscal Q2 2027 figure marks the lowest quarterly Cost of Revenue since fiscal Q1 2026.
- Compared with a year earlier, Cost of Revenue was higher in 1 of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q3 2022 (growth of 24.8%); the worst was fiscal Q3 2024 (a decline of 9.3%).
- Per Business Quant data, M's Cost of Revenue in the three fiscal quarters before Q2 2027 was $2.86 billion (Q1 2027), $4.95 billion (Q4 2026) and $2.86 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 17.60 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 2.38 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Macy's | 6.01 Bn | 1.73 Bn | 2.21 Bn | 2.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.85 Bn |
| May 2, 2026 | 2.86 Bn |
| Jan 31, 2026 | 4.95 Bn |
| Nov 1, 2025 | 2.86 Bn |
| Aug 2, 2025 | 2.90 Bn |
| May 3, 2025 | 2.80 Bn |
| Feb 1, 2025 | 4.99 Bn |
| Nov 2, 2024 | 2.86 Bn |
| Aug 3, 2024 | 2.94 Bn |
| May 4, 2024 | 2.95 Bn |
| Feb 3, 2024 | 5.15 Bn |
| Oct 28, 2023 | 2.91 Bn |
| Jul 29, 2023 | 3.17 Bn |
| Apr 29, 2023 | 2.99 Bn |
| Jan 28, 2023 | 5.49 Bn |
| Oct 29, 2022 | 3.20 Bn |
| Jul 30, 2022 | 3.42 Bn |
| Apr 30, 2022 | 3.23 Bn |
| Jan 29, 2022 | 5.52 Bn |
| Oct 30, 2021 | 3.21 Bn |
Macy's Cost of Revenue 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=cost-of-revenue&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();