Tjx Companies (TJX) Change in Accured Expenses (2009 - 2026)
Tjx Companies (TJX) posted Change in Accured Expenses of $415 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 18.6% from $350 million a year earlier.
Tjx Companies (TJX) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Accured Expenses at Tjx Companies was $462 million, up 90.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $628 million, up 175.4% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Tjx Companies' Change in Accured Expenses was $228 million in FY2025 (-48.5%), $443 million in FY2024, -$23 million in FY2023 and $659 million in FY2022 (+12.6%).
- Quarterly Change in Accured Expenses has run from a low of -$954 million in fiscal Q1 2027 to a high of $584 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 24.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q4 2022, with growth of 193.4%; the weakest was fiscal Q3 2022, with a decline of 77.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$954 million (Q1 2027), $584 million (Q4 2026) and $417 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 415.00 Mn |
| May 2, 2026 | -954.00 Mn |
| Jan 31, 2026 | 584.00 Mn |
| Nov 1, 2025 | 417.00 Mn |
| Aug 2, 2025 | 350.00 Mn |
| May 3, 2025 | -723.00 Mn |
| Feb 1, 2025 | 313.00 Mn |
| Nov 2, 2024 | 303.00 Mn |
| Aug 3, 2024 | 353.00 Mn |
| May 4, 2024 | -741.00 Mn |
| Feb 3, 2024 | 282.00 Mn |
| Oct 28, 2023 | 331.00 Mn |
| Jul 29, 2023 | 307.00 Mn |
| Apr 29, 2023 | -477.00 Mn |
| Jan 28, 2023 | 214.00 Mn |
| Oct 29, 2022 | 156.00 Mn |
| Jul 30, 2022 | 172.00 Mn |
| Apr 30, 2022 | -565.00 Mn |
| Jan 29, 2022 | 101.94 Mn |
| Oct 30, 2021 | 89.03 Mn |
Tjx Companies Change in Accured Expenses 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=change-in-accured-expenses&ticker=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();