Tjx Companies (TJX) Accumulated Expenses (2009 - 2026)
Tjx Companies (TJX) posted Accumulated Expenses of $5.37 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.5% from $4.78 billion a year earlier and up 6.8% from the prior quarter.
Tjx Companies (TJX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tjx Companies' Accumulated Expenses came in at $5.89 billion, up 16.9% from FY2025.
- Annual Accumulated Expenses has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In prior fiscal years, Tjx Companies' Accumulated Expenses was $5.04 billion in FY2025 (+3.5%), $4.87 billion in FY2024 (+12.1%), $4.35 billion in FY2023 (+2.4%) and $4.25 billion in FY2022 (+22.3%).
- Quarterly Accumulated Expenses has run from a low of $3.81 billion in fiscal Q1 2023 to a high of $5.89 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 15 quarters, with growth averaging 9.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2022, with growth of 28.2%; the weakest was fiscal Q3 2023, with a decline of 1.4%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $5.03 billion (Q1 2027), $5.89 billion (Q4 2026) and $5.26 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.37 Bn |
| May 2, 2026 | 5.03 Bn |
| Jan 31, 2026 | 5.89 Bn |
| Nov 1, 2025 | 5.26 Bn |
| Aug 2, 2025 | 4.78 Bn |
| May 3, 2025 | 4.49 Bn |
| Feb 1, 2025 | 5.04 Bn |
| Nov 2, 2024 | 4.71 Bn |
| Aug 3, 2024 | 4.46 Bn |
| May 4, 2024 | 4.12 Bn |
| Feb 3, 2024 | 4.87 Bn |
| Oct 28, 2023 | 4.48 Bn |
| Jul 29, 2023 | 4.24 Bn |
| Apr 29, 2023 | 3.95 Bn |
| Jan 28, 2023 | 4.35 Bn |
| Oct 29, 2022 | 4.08 Bn |
| Jul 30, 2022 | 3.93 Bn |
| Apr 30, 2022 | 3.81 Bn |
| Jan 29, 2022 | 4.25 Bn |
| Oct 30, 2021 | 4.14 Bn |
Tjx Companies Accumulated 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=accumulated-expenses&ticker=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();