Macy's (M) Cash & Equivalents (2009 - 2026)
Macy's' Cash & Equivalents was $1.29 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 56.1% from $829 million a year earlier and unchanged from the prior quarter.
Macy's (M) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at Macy's came in at $1.25 billion, down 4.6% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $1.31 billion in FY2025 (+26.3%), $1.03 billion in FY2024 (+20.0%), $862 million in FY2023 (-49.6%) and $1.71 billion in FY2022 (+2.0%).
- Quarterly Cash & Equivalents has moved between $300 million (fiscal Q2 2023) and $1.71 billion (fiscal Q4 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 22.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2027 (growth of 56.1%); the worst was fiscal Q2 2023 (a decline of 86.0%).
- Per Business Quant data, M's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $1.29 billion (Q1 2027), $1.25 billion (Q4 2026) and $447 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Macy's | 5.95 Bn | 1.67 Bn | 2.21 Bn | 1.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.29 Bn |
| May 2, 2026 | 1.29 Bn |
| Jan 31, 2026 | 1.25 Bn |
| Nov 1, 2025 | 447.00 Mn |
| Aug 2, 2025 | 829.00 Mn |
| May 3, 2025 | 932.00 Mn |
| Feb 1, 2025 | 1.31 Bn |
| Nov 2, 2024 | 315.00 Mn |
| Aug 3, 2024 | 646.00 Mn |
| May 4, 2024 | 876.00 Mn |
| Feb 3, 2024 | 1.03 Bn |
| Oct 28, 2023 | 364.00 Mn |
| Jul 29, 2023 | 438.00 Mn |
| Apr 29, 2023 | 603.00 Mn |
| Jan 28, 2023 | 862.00 Mn |
| Oct 29, 2022 | 326.00 Mn |
| Jul 30, 2022 | 300.00 Mn |
| Apr 30, 2022 | 672.00 Mn |
| Jan 29, 2022 | 1.71 Bn |
| Oct 30, 2021 | 316.00 Mn |
Macy's Cash & Equivalents 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=cash-and-equivalents&ticker=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();