Tjx Companies (TJX) Cash & Equivalents (2009 - 2026)
Tjx Companies (TJX) recorded Cash & Equivalents of $6 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 29.4% from $4.64 billion a year earlier and up 7.6% from the prior quarter.
Tjx Companies (TJX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Tjx Companies reported Cash & Equivalents of $6.23 billion, up 16.8% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -9.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $5.34 billion in FY2025 (-4.7%), $5.6 billion in FY2024 (+2.2%), $5.48 billion in FY2023 (-12.0%) and $6.23 billion in FY2022 (-40.5%).
- Quarterly Cash & Equivalents has ranged from $3.37 billion in fiscal Q3 2023 to $6.79 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 31.1% in fiscal Q1 2027, against a decline of 51.1% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.58 billion (Q1 2027), $6.23 billion (Q4 2026) and $4.64 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 13.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.00 Bn |
| May 2, 2026 | 5.58 Bn |
| Jan 31, 2026 | 6.23 Bn |
| Nov 1, 2025 | 4.64 Bn |
| Aug 2, 2025 | 4.64 Bn |
| May 3, 2025 | 4.26 Bn |
| Feb 1, 2025 | 5.34 Bn |
| Nov 2, 2024 | 4.72 Bn |
| Aug 3, 2024 | 5.25 Bn |
| May 4, 2024 | 5.06 Bn |
| Feb 3, 2024 | 5.60 Bn |
| Oct 28, 2023 | 4.29 Bn |
| Jul 29, 2023 | 4.55 Bn |
| Apr 29, 2023 | 5.03 Bn |
| Jan 28, 2023 | 5.48 Bn |
| Oct 29, 2022 | 3.37 Bn |
| Jul 30, 2022 | 3.53 Bn |
| Apr 30, 2022 | 4.30 Bn |
| Jan 29, 2022 | 6.23 Bn |
| Oct 30, 2021 | 6.79 Bn |
Tjx Companies Cash & Equivalents 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=cash-and-equivalents&ticker=TJX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();