Target (TGT) Long-Term Debt Repayments (2009 - 2026)
Target (TGT) reported Long-Term Debt Repayments of $38 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.7% from $37 million a year earlier but down 96.3% from the prior quarter.
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Analysis
Target (TGT) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Target's Long-Term Debt Repayments came in at $1.14 billion, down 30.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.64 billion, up 44.2% from FY2025.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- By fiscal year, Long-Term Debt Repayments came in at $1.14 billion in FY2025 (+674.8%), $147 million in FY2024 (-9.8%), $163 million in FY2023 (-85.8%) and $1.15 billion in FY2022 (-52.5%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $24 million in fiscal Q4 2023 and a high of $1.53 billion in fiscal Q1 2026.
- Year over year, Long-Term Debt Repayments gained in three of the last seven quarters, with an average decline of 18.2%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q1 2023 (growth of 128.6%); the low point was fiscal Q3 2022 (a decline of 98.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.03 billion (Q1 2027), $34 million (Q4 2026) and $38 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,786.69 Bn | 2,303.39 Bn | 104.83 Bn | 2.75 Bn |
| 2 | Home Depot | 292.25 Bn | 285.49 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 156.35 Bn | 133.89 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.35 Bn | 98.31 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 71.70 Bn | 54.63 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.98 Bn | 70.07 Bn | 2.52 Bn | - |
| 7 | Target | 68.97 Bn | 63.56 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 47.65 Bn | 46.55 Bn | 2.52 Bn | 345.90 Mn |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn | 21.00 Mn |
| 10 | JD.com | 38.15 Bn | -82.06 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 38.00 Mn |
| May 2, 2026 | 1.03 Bn |
| Jan 31, 2026 | 34.00 Mn |
| Nov 1, 2025 | 38.00 Mn |
| Aug 2, 2025 | 37.00 Mn |
| May 3, 2025 | 1.53 Bn |
| Feb 1, 2025 | 27.00 Mn |
| Nov 2, 2024 | 36.00 Mn |
| Aug 3, 2024 | 1.04 Bn |
| May 4, 2024 | 32.00 Mn |
| Feb 3, 2024 | 33.00 Mn |
| Oct 28, 2023 | 42.00 Mn |
| Jul 29, 2023 | 26.00 Mn |
| Apr 29, 2023 | 46.00 Mn |
| Jan 28, 2023 | 24.00 Mn |
| Oct 29, 2022 | 26.00 Mn |
| Jul 30, 2022 | 65.00 Mn |
| Apr 30, 2022 | 48.00 Mn |
| Jan 29, 2022 | 1.04 Bn |
| Oct 30, 2021 | 40.00 Mn |
API Access
Target 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=TGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TGT", "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=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();