Tjx Companies (TJX) Enterprise Value (2009 - 2026)
Tjx Companies' Enterprise Value came in at $167.25 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 23.4% from $135.57 billion a year earlier but down 0.3% from the prior quarter.
Tjx Companies (TJX) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Tjx Companies reported Enterprise Value of $150.8 billion, up 24.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $159.62 billion, up 18.8% from FY2025.
- Enterprise Value has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $134.35 billion in FY2025 (+28.0%), $104.94 billion in FY2024 (+17.7%), $89.14 billion in FY2023 (+14.2%) and $78.09 billion in FY2022 (+17.1%).
- The five-year range for quarterly Enterprise Value is $67.53 billion (fiscal Q2 2023) to $167.73 billion (fiscal Q1 2027).
- Year-over-year, Enterprise Value has increased for 16 consecutive quarters, with growth averaging 23.7% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2022 (growth of 41.7%), and the weakest in fiscal Q1 2023 (a decline of 12.1%).
- Business Quant data shows TJX's Enterprise Value at $167.73 billion (Q1 2027), $159.62 billion (Q4 2026) and $150.97 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 167.25 Bn |
| May 2, 2026 | 167.73 Bn |
| Jan 31, 2026 | 159.62 Bn |
| Nov 1, 2025 | 150.97 Bn |
| Aug 2, 2025 | 135.57 Bn |
| May 3, 2025 | 139.92 Bn |
| Feb 1, 2025 | 134.35 Bn |
| Nov 2, 2024 | 121.65 Bn |
| Aug 3, 2024 | 122.37 Bn |
| May 4, 2024 | 102.49 Bn |
| Feb 3, 2024 | 104.94 Bn |
| Oct 28, 2023 | 95.17 Bn |
| Jul 29, 2023 | 94.89 Bn |
| Apr 29, 2023 | 85.63 Bn |
| Jan 28, 2023 | 89.14 Bn |
| Oct 29, 2022 | 80.46 Bn |
| Jul 30, 2022 | 67.53 Bn |
| Apr 30, 2022 | 67.57 Bn |
| Jan 29, 2022 | 78.09 Bn |
| Oct 30, 2021 | 71.42 Bn |
Tjx Companies Enterprise Value 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=enterprise-value&ticker=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();