Macy's, Inc. (M) EBT (2009 - 2026)
Macy's (M) reported EBT of $227 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 97.4% from $115 million a year earlier and up 144.1% from the prior quarter.
Macy's, Inc. (M) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Macy's' EBT came in at $987 million, up 50.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $849 million, up 11.3% from FY2025.
- By fiscal year, EBT came in at $763 million in FY2025, $43 million in FY2024 (-97.1%), $1.48 billion in FY2023 (-20.2%) and $1.85 billion in FY2022.
- Five-year quarterly EBT spans a low of -$180 million in fiscal Q4 2024 and a high of $967 million in fiscal Q4 2022.
- Year over year, EBT has now increased in each of the last three quarters, with growth averaging 1.4% over the last seven quarters.
- The high point for year-over-year EBT in five years was fiscal Q4 2022 (growth of 208.0%); the low point was fiscal Q3 2026 (a decline of 85.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $93 million (Q1 2027), $662 million (Q4 2026) and $5 million (Q3 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 227.00 Mn |
| May 2, 2026 | 93.00 Mn |
| Jan 31, 2026 | 662.00 Mn |
| Nov 1, 2025 | 5.00 Mn |
| Aug 2, 2025 | 115.00 Mn |
| May 3, 2025 | 68.00 Mn |
| Feb 1, 2025 | 436.00 Mn |
| Nov 2, 2024 | 35.00 Mn |
| Aug 3, 2024 | 195.00 Mn |
| May 4, 2024 | 98.00 Mn |
| Feb 3, 2024 | -180.00 Mn |
| Oct 28, 2023 | 43.00 Mn |
| Jul 29, 2023 | -26.00 Mn |
| Apr 29, 2023 | 207.00 Mn |
| Jan 28, 2023 | 596.00 Mn |
| Oct 29, 2022 | 125.00 Mn |
| Jul 30, 2022 | 364.00 Mn |
| Apr 30, 2022 | 392.00 Mn |
| Jan 29, 2022 | 967.00 Mn |
| Oct 30, 2021 | 294.00 Mn |
Macy's, Inc. EBT 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=ebt&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();