Target (TGT) Assets (2009 - 2026)
Target (TGT) posted Assets of $61.24 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.8% from $57.85 billion a year earlier and up 5.6% from the prior quarter.
Target (TGT) Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Target's Assets came in at $59.49 billion, up 3.0% from FY2025.
- Annual Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- In prior fiscal years, Target's Assets was $57.77 billion in FY2025 (+4.4%), $55.36 billion in FY2024 (+3.8%), $53.34 billion in FY2023 (-0.9%) and $53.81 billion in FY2022 (+5.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Assets has increased in each of the last 14 quarters, with growth averaging 3.5% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q3 2022, with growth of 7.4%; the weakest was fiscal Q4 2023, with a decline of 0.9%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $58.01 billion (Q1 2027), $59.49 billion (Q4 2026) and $59.99 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 20.92 Bn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 106.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 61.24 Bn |
| May 2, 2026 | 58.01 Bn |
| Jan 31, 2026 | 59.49 Bn |
| Nov 1, 2025 | 59.99 Bn |
| Aug 2, 2025 | 57.85 Bn |
| May 3, 2025 | 56.19 Bn |
| Feb 1, 2025 | 57.77 Bn |
| Nov 2, 2024 | 58.53 Bn |
| Aug 3, 2024 | 56.00 Bn |
| May 4, 2024 | 55.12 Bn |
| Feb 3, 2024 | 55.36 Bn |
| Oct 28, 2023 | 56.23 Bn |
| Jul 29, 2023 | 53.21 Bn |
| Apr 29, 2023 | 52.15 Bn |
| Jan 28, 2023 | 53.34 Bn |
| Oct 29, 2022 | 55.62 Bn |
| Jul 30, 2022 | 52.47 Bn |
| Apr 30, 2022 | 50.84 Bn |
| Jan 29, 2022 | 53.81 Bn |
| Oct 30, 2021 | 54.41 Bn |
Target Assets 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=assets&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "TGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();