Tjx Companies (TJX) Inventory (2009 - 2026)
Tjx Companies (TJX) recorded Inventory of $7.86 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.6% from $7.37 billion a year earlier and up 2.4% from the prior quarter.
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Analysis
Tjx Companies (TJX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tjx Companies reported Inventory of $7.3 billion, up 13.6% from FY2025.
- Annual Inventory has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $6.42 billion in FY2025 (+7.6%), $5.97 billion in FY2024 (+2.5%), $5.82 billion in FY2023 (-2.4%) and $5.96 billion in FY2022 (+37.5%).
- Quarterly Inventory has ranged from $5.82 billion in fiscal Q4 2023 to $9.35 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for eight consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 39.2% in fiscal Q2 2023, against a decline of 7.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.68 billion (Q1 2027), $7.3 billion (Q4 2026) and $9.35 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 16.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.86 Bn |
| May 2, 2026 | 7.68 Bn |
| Jan 31, 2026 | 7.30 Bn |
| Nov 1, 2025 | 9.35 Bn |
| Aug 2, 2025 | 7.37 Bn |
| May 3, 2025 | 7.13 Bn |
| Feb 1, 2025 | 6.42 Bn |
| Nov 2, 2024 | 8.37 Bn |
| Aug 3, 2024 | 6.47 Bn |
| May 4, 2024 | 6.22 Bn |
| Feb 3, 2024 | 5.97 Bn |
| Oct 28, 2023 | 8.29 Bn |
| Jul 29, 2023 | 6.59 Bn |
| Apr 29, 2023 | 6.44 Bn |
| Jan 28, 2023 | 5.82 Bn |
| Oct 29, 2022 | 8.33 Bn |
| Jul 30, 2022 | 7.08 Bn |
| Apr 30, 2022 | 6.99 Bn |
| Jan 29, 2022 | 5.96 Bn |
| Oct 30, 2021 | 6.63 Bn |
API Access
Tjx Companies Inventory 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=inventory&ticker=TJX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();