Tjx Companies (TJX) EBITDA (2009 - 2026)
Tjx Companies' EBITDA was $2.33 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.7% from $1.93 billion a year earlier and up 15.1% from the prior quarter.
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Analysis
Tjx Companies (TJX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tjx Companies' EBITDA was $9.23 billion through Aug 1, 2026, up 20.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $8.43 billion, up 13.8% from FY2025.
- EBITDA has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 42.1% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $7.41 billion in FY2025 (+9.5%), $6.76 billion in FY2024 (+17.6%), $5.75 billion in FY2023 (+2.2%) and $5.62 billion in FY2022 (+287.0%).
- Quarterly EBITDA has moved between $1.31 billion (fiscal Q1 2023) and $2.68 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2022 (growth of 37.5%); the worst was fiscal Q2 2023 (a decline of 14.6%).
- Per Business Quant data, TJX's EBITDA in the three fiscal quarters before Q2 2027 was $2.02 billion (Q1 2027), $2.68 billion (Q4 2026) and $2.2 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.33 Bn |
| May 2, 2026 | 2.02 Bn |
| Jan 31, 2026 | 2.68 Bn |
| Nov 1, 2025 | 2.20 Bn |
| Aug 2, 2025 | 1.93 Bn |
| May 3, 2025 | 1.61 Bn |
| Feb 1, 2025 | 2.16 Bn |
| Nov 2, 2024 | 1.96 Bn |
| Aug 3, 2024 | 1.69 Bn |
| May 4, 2024 | 1.60 Bn |
| Feb 3, 2024 | 2.04 Bn |
| Oct 28, 2023 | 1.79 Bn |
| Jul 29, 2023 | 1.52 Bn |
| Apr 29, 2023 | 1.40 Bn |
| Jan 28, 2023 | 1.55 Bn |
| Oct 29, 2022 | 1.58 Bn |
| Jul 30, 2022 | 1.32 Bn |
| Apr 30, 2022 | 1.31 Bn |
| Jan 29, 2022 | 1.48 Bn |
| Oct 30, 2021 | 1.62 Bn |
API Access
Tjx Companies EBITDA 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=ebitda&ticker=TJX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();