Target (TGT) Property, Plant & Equipment (Net) (2009 - 2026)
Target's Property, Plant & Equipment (Net) came in at $34.77 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.6% from $33.57 billion a year earlier and up 1.7% from the prior quarter.
Target (TGT) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Target's Property, Plant & Equipment (Net) was $33.75 billion, up 2.2% from FY2025.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $33.02 billion in FY2025 (-0.2%), $33.1 billion in FY2024 (+5.0%), $31.51 billion in FY2023 (+11.8%) and $28.18 billion in FY2022 (+4.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q1 2024 (growth of 13.0%), and the weakest in fiscal Q3 2025 (a decline of 0.7%).
- Business Quant data shows TGT's Property, Plant & Equipment (Net) at $34.18 billion (Q1 2027), $33.75 billion (Q4 2026) and $33.71 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 14.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 34.77 Bn |
| May 2, 2026 | 34.18 Bn |
| Jan 31, 2026 | 33.75 Bn |
| Nov 1, 2025 | 33.71 Bn |
| Aug 2, 2025 | 33.57 Bn |
| May 3, 2025 | 33.18 Bn |
| Feb 1, 2025 | 33.02 Bn |
| Nov 2, 2024 | 32.93 Bn |
| Aug 3, 2024 | 33.08 Bn |
| May 4, 2024 | 33.11 Bn |
| Feb 3, 2024 | 33.10 Bn |
| Oct 28, 2023 | 33.17 Bn |
| Jul 29, 2023 | 32.95 Bn |
| Apr 29, 2023 | 32.40 Bn |
| Jan 28, 2023 | 31.51 Bn |
| Oct 29, 2022 | 30.92 Bn |
| Jul 30, 2022 | 29.82 Bn |
| Apr 30, 2022 | 28.67 Bn |
| Jan 29, 2022 | 28.18 Bn |
| Oct 30, 2021 | 27.92 Bn |
Target Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();