Tjx Companies (TJX) Total Liabilities (2009 - 2026)
Tjx Companies' Total Liabilities was $26.46 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.2% from $24.02 billion a year earlier and up 2.8% from the prior quarter.
Tjx Companies (TJX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Tjx Companies came in at $25.58 billion, up 9.5% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $23.36 billion in FY2025 (+4.1%), $22.45 billion in FY2024 (+2.1%), $21.99 billion in FY2023 (-2.1%) and $22.46 billion in FY2022 (-10.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Compared with a year earlier, Total Liabilities has increased for nine straight quarters, with growth averaging 6.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2027 (growth of 10.3%); the worst was fiscal Q4 2022 (a decline of 10.1%).
- Per Business Quant data, TJX's Total Liabilities in the three fiscal quarters before Q2 2027 was $25.76 billion (Q1 2027), $25.58 billion (Q4 2026) and $25.83 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 26.46 Bn |
| May 2, 2026 | 25.76 Bn |
| Jan 31, 2026 | 25.58 Bn |
| Nov 1, 2025 | 25.83 Bn |
| Aug 2, 2025 | 24.02 Bn |
| May 3, 2025 | 23.36 Bn |
| Feb 1, 2025 | 23.36 Bn |
| Nov 2, 2024 | 24.26 Bn |
| Aug 3, 2024 | 22.77 Bn |
| May 4, 2024 | 22.18 Bn |
| Feb 3, 2024 | 22.45 Bn |
| Oct 28, 2023 | 23.52 Bn |
| Jul 29, 2023 | 22.31 Bn |
| Apr 29, 2023 | 22.26 Bn |
| Jan 28, 2023 | 21.99 Bn |
| Oct 29, 2022 | 22.76 Bn |
| Jul 30, 2022 | 21.69 Bn |
| Apr 30, 2022 | 22.12 Bn |
| Jan 29, 2022 | 22.46 Bn |
| Oct 30, 2021 | 23.63 Bn |
Tjx Companies 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=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TJX", "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=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();