Tjx Companies (TJX) Change in Inventory (2009 - 2026)
Tjx Companies' Change in Inventory was $221 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.3% from $241 million a year earlier and down 42.1% from the prior quarter.
Tjx Companies (TJX) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tjx Companies' Change in Inventory was $482 million through Aug 1, 2026, down 44.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $724 million, up 34.3% from FY2025.
- In earlier fiscal years, Change in Inventory was $539 million in FY2025 (+271.7%), $145 million in FY2024, -$58 million in FY2023 and $1.66 billion in FY2022.
- Quarterly Change in Inventory has moved between -$2.6 billion (fiscal Q4 2023) and $2.01 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Change in Inventory was higher in three of the last six quarters, with growth averaging 15.2%.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q1 2026 (growth of 127.1%); the worst was fiscal Q1 2025 (a decline of 57.4%).
- Per Business Quant data, TJX's Change in Inventory in the three fiscal quarters before Q2 2027 was $382 million (Q1 2027), -$2.13 billion (Q4 2026) and $2.01 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 221.00 Mn |
| May 2, 2026 | 382.00 Mn |
| Jan 31, 2026 | -2.13 Bn |
| Nov 1, 2025 | 2.01 Bn |
| Aug 2, 2025 | 241.00 Mn |
| May 3, 2025 | 604.00 Mn |
| Feb 1, 2025 | -1.88 Bn |
| Nov 2, 2024 | 1.90 Bn |
| Aug 3, 2024 | 246.00 Mn |
| May 4, 2024 | 266.00 Mn |
| Feb 3, 2024 | -2.38 Bn |
| Oct 28, 2023 | 1.79 Bn |
| Jul 29, 2023 | 110.00 Mn |
| Apr 29, 2023 | 624.00 Mn |
| Jan 28, 2023 | -2.60 Bn |
| Oct 29, 2022 | 1.34 Bn |
| Jul 30, 2022 | 122.00 Mn |
| Apr 30, 2022 | 1.09 Bn |
| Jan 29, 2022 | -629.33 Mn |
| Oct 30, 2021 | 1.55 Bn |
Tjx Companies Change in 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=change-in-inventory&ticker=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();