Macy's (M) EBITDA (2009 - 2026)
Macy's' EBITDA was $450 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 22.6% from $367 million a year earlier and up 39.8% from the prior quarter.
Powered by 
Analysis
Macy's (M) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Macy's' EBITDA was $2.02 billion through Aug 1, 2026, up 18.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.92 billion, up 7.5% from FY2025.
- In earlier fiscal years, EBITDA was $1.79 billion in FY2025 (+49.4%), $1.2 billion in FY2024 (-52.9%), $2.55 billion in FY2023 (-20.7%) and $3.21 billion in FY2022.
- Quarterly EBITDA has moved between $83 million (fiscal Q4 2024) and $1.21 billion (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 99.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2025 (growth of 771.1%); the worst was fiscal Q4 2024 (a decline of 90.3%).
- Per Business Quant data, M's EBITDA in the three fiscal quarters before Q2 2027 was $322 million (Q1 2027), $967 million (Q4 2026) and $277 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Macy's | 6.21 Bn | 1.93 Bn | 2.21 Bn | 452.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 452.00 Mn |
| May 2, 2026 | 323.00 Mn |
| Jan 31, 2026 | 968.00 Mn |
| Nov 1, 2025 | 278.00 Mn |
| Aug 2, 2025 | 371.00 Mn |
| May 3, 2025 | 315.00 Mn |
| Feb 1, 2025 | 726.00 Mn |
| Nov 2, 2024 | 296.00 Mn |
| Aug 3, 2024 | 437.00 Mn |
| May 4, 2024 | 344.00 Mn |
| Feb 3, 2024 | 87.00 Mn |
| Oct 28, 2023 | 318.00 Mn |
| Jul 29, 2023 | 345.00 Mn |
| Apr 29, 2023 | 461.00 Mn |
| Jan 28, 2023 | 859.00 Mn |
| Oct 29, 2022 | 420.00 Mn |
| Jul 30, 2022 | 609.00 Mn |
| Apr 30, 2022 | 671.00 Mn |
| Jan 29, 2022 | 1.21 Bn |
| Oct 30, 2021 | 799.00 Mn |
API Access
Macy's EBITDA 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=ebitda&ticker=M&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();