Macy's (M) EBITDA Margin (2009 - 2026)
Macy's (M) recorded EBITDA Margin of 8.90% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.55 percentage points from 7.34% a year earlier and up 2.31 percentage points from the prior quarter.
Macy's (M) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Macy's' EBITDA Margin came in at 8.85% as of Aug 1, 2026, up 1.38 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 8.51%, up 0.72 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of +28.78 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at 7.78% in FY2025 (+2.76 pp), 5.02% in FY2024 (-4.98 pp), 10.00% in FY2023 (-2.63 pp) and 12.63% in FY2022 (+32.90 pp).
- Quarterly EBITDA Margin has ranged from 0.99% in fiscal Q4 2024 to 13.73% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +1.34 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 10.65 percentage points in fiscal Q3 2022, against a drop of 8.96 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.58% (Q1 2027), 12.22% (Q4 2026) and 5.64% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 19.85% |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 23.02% |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 12.60% |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 22.45% |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 10.21% |
| 10 | Macy's | 6.19 Bn | 1.90 Bn | 2.21 Bn | 8.93% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.93% |
| May 2, 2026 | 6.60% |
| Jan 31, 2026 | 12.23% |
| Nov 1, 2025 | 5.66% |
| Aug 2, 2025 | 7.42% |
| May 3, 2025 | 6.57% |
| Feb 1, 2025 | 9.07% |
| Nov 2, 2024 | 6.04% |
| Aug 3, 2024 | 8.58% |
| May 4, 2024 | 6.88% |
| Feb 3, 2024 | 1.04% |
| Oct 28, 2023 | 6.31% |
| Jul 29, 2023 | 6.53% |
| Apr 29, 2023 | 8.91% |
| Jan 28, 2023 | 10.01% |
| Oct 29, 2022 | 7.68% |
| Jul 30, 2022 | 10.44% |
| Apr 30, 2022 | 12.06% |
| Jan 29, 2022 | 12.60% |
| Oct 30, 2021 | 14.69% |
Macy's EBITDA Margin 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-margin&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();