Macy's (M) Interest Expenses (2009 - 2023)
Macy's' Interest Expenses was $37 million in fiscal Q1 2024 (quarter ended Apr 29, 2023), down 21.3% from $47 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Macy's (M) Interest Expenses (2009 - 2023) Analysis & Trends
On a trailing twelve-month basis, Macy's' Interest Expenses was $164 million through Apr 29, 2023, down 26.8% year-over-year; for FY2023 (ended Jan 28, 2023), it was $175 million, down 31.6% from FY2022.
- Interest Expenses shows a five-year compound annual growth rate of -11.4% (FY2018 to FY2023).
- In earlier fiscal years, Interest Expenses was $256 million in FY2022 (-9.9%), $284 million in FY2021 (+38.5%), $205 million in FY2020 (-21.5%) and $261 million in FY2019 (-18.7%).
- The fiscal Q1 2024 figure marks the lowest quarterly Interest Expenses in data going back to fiscal Q4 2009.
- Compared with a year earlier, Interest Expenses has declined for seven straight quarters, with an average decline of 25.2% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q4 2021 (growth of 84.8%); the worst was fiscal Q4 2022 (a decline of 48.2%).
- Per Business Quant data, M's Interest Expenses in the three fiscal quarters before Q1 2024 was $41 million (Q4 2023), $43 million (Q3 2023) and $43 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 101.00 Mn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 29, 2023 | 37.00 Mn |
| Jan 28, 2023 | 41.00 Mn |
| Oct 29, 2022 | 43.00 Mn |
| Jul 30, 2022 | 43.00 Mn |
| Apr 30, 2022 | 47.00 Mn |
| Jan 29, 2022 | 44.00 Mn |
| Oct 30, 2021 | 53.00 Mn |
| Jul 31, 2021 | 80.00 Mn |
| May 1, 2021 | 79.00 Mn |
| Jan 30, 2021 | 85.00 Mn |
| Oct 31, 2020 | 80.00 Mn |
| Aug 1, 2020 | 70.00 Mn |
| May 2, 2020 | 49.00 Mn |
| Feb 1, 2020 | 46.00 Mn |
| Nov 2, 2019 | 52.00 Mn |
| Aug 3, 2019 | 52.00 Mn |
| May 4, 2019 | 54.00 Mn |
| Feb 2, 2019 | 57.00 Mn |
| Nov 3, 2018 | 64.00 Mn |
| Aug 4, 2018 | 69.00 Mn |
API Access
Macy's Interest Expenses 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=interest-expenses&ticker=M&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();