Target (TGT) Total Liabilities (2009 - 2026)
Target (TGT) posted Total Liabilities of $43.39 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.3% from $42.43 billion a year earlier and up 4.3% from the prior quarter.
Target (TGT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Target's Total Liabilities came in at $43.33 billion, up 0.5% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In prior fiscal years, Target's Total Liabilities was $43.1 billion in FY2025 (+2.8%), $41.92 billion in FY2024 (-0.4%), $42.1 billion in FY2023 (+2.7%) and $40.98 billion in FY2022 (+11.3%).
- Quarterly Total Liabilities has run from a low of $40.07 billion in fiscal Q1 2023 to a high of $44.6 billion in fiscal Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 14.7%; the weakest was fiscal Q3 2024, with a decline of 2.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $41.62 billion (Q1 2027), $43.33 billion (Q4 2026) and $44.49 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 43.39 Bn |
| May 2, 2026 | 41.62 Bn |
| Jan 31, 2026 | 43.33 Bn |
| Nov 1, 2025 | 44.49 Bn |
| Aug 2, 2025 | 42.43 Bn |
| May 3, 2025 | 41.24 Bn |
| Feb 1, 2025 | 43.10 Bn |
| Nov 2, 2024 | 44.04 Bn |
| Aug 3, 2024 | 41.57 Bn |
| May 4, 2024 | 41.28 Bn |
| Feb 3, 2024 | 41.92 Bn |
| Oct 28, 2023 | 43.72 Bn |
| Jul 29, 2023 | 41.22 Bn |
| Apr 29, 2023 | 40.55 Bn |
| Jan 28, 2023 | 42.10 Bn |
| Oct 29, 2022 | 44.60 Bn |
| Jul 30, 2022 | 41.88 Bn |
| Apr 30, 2022 | 40.07 Bn |
| Jan 29, 2022 | 40.98 Bn |
| Oct 30, 2021 | 40.61 Bn |
Target Total Liabilities 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=total-liabilities&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();