Target (TGT) Total Non-Current Liabilities (2009 - 2026)
Target's Total Non-Current Liabilities was $22.21 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.3% from $23.21 billion a year earlier and down 0.1% from the prior quarter.
Target (TGT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Target came in at $22.1 billion, down 0.9% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $22.3 billion in FY2025 (-1.4%), $22.62 billion in FY2024 (+0.1%), $22.6 billion in FY2023 (+17.5%) and $19.24 billion in FY2022 (+15.3%).
- Quarterly Total Non-Current Liabilities has moved between $17.26 billion (fiscal Q3 2022) and $23.25 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2023 (growth of 20.6%); the worst was fiscal Q1 2025 (a decline of 5.6%).
- Per Business Quant data, TGT's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $22.23 billion (Q1 2027), $22.1 billion (Q4 2026) and $23.25 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 22.81 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 13.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 22.21 Bn |
| May 2, 2026 | 22.23 Bn |
| Jan 31, 2026 | 22.10 Bn |
| Nov 1, 2025 | 23.25 Bn |
| Aug 2, 2025 | 23.21 Bn |
| May 3, 2025 | 22.25 Bn |
| Feb 1, 2025 | 22.30 Bn |
| Nov 2, 2024 | 22.25 Bn |
| Aug 3, 2024 | 21.58 Bn |
| May 4, 2024 | 21.42 Bn |
| Feb 3, 2024 | 22.62 Bn |
| Oct 28, 2023 | 22.21 Bn |
| Jul 29, 2023 | 21.88 Bn |
| Apr 29, 2023 | 22.68 Bn |
| Jan 28, 2023 | 22.60 Bn |
| Oct 29, 2022 | 20.81 Bn |
| Jul 30, 2022 | 19.43 Bn |
| Apr 30, 2022 | 19.34 Bn |
| Jan 29, 2022 | 19.24 Bn |
| Oct 30, 2021 | 17.26 Bn |
Target Total Non-Current 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-non-current-liabilities&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();