Ross Stores (ROST) Long-Term Debt Repayments (2022 - 2026)
Ross Stores' Long-Term Debt Repayments was $500 million in fiscal Q1 2027 (quarter ended May 2, 2026), down 28.6% from $700 million a year earlier.
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Analysis
Ross Stores (ROST) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Long-Term Debt Repayments at Ross Stores came in at $700 million, up 180.0% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $250 million in FY2025 and $65 million in FY2022 (-91.6%).
- The fiscal Q1 2027 figure marks the lowest quarterly Long-Term Debt Repayments since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,653.16 Bn | 2,653.16 Bn | - | - |
| 2 | Home Depot | 338.76 Bn | 332.00 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 155.97 Bn | 133.51 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 121.83 Bn | 114.80 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.90 Bn | 74.90 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 73.46 Bn | 56.38 Bn | 2.12 Bn | - |
| 7 | Target | 72.26 Bn | 66.85 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.81 Bn | 52.66 Bn | 3.52 Bn | 476.85 Mn |
| 9 | Carvana | 51.56 Bn | 41.15 Bn | 1.52 Bn | 1.73 Bn |
| 10 | JD.com | 37.45 Bn | -82.75 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2026 | 500.00 Mn |
| May 3, 2025 | 700.00 Mn |
| Nov 2, 2024 | 250.00 Mn |
| Jan 29, 2022 | 65.00 Mn |
API Access
Ross Stores Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ROST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();