Ingles Markets (IMKTA) Property, Plant & Equipment (Net) (2010 - 2026)
Ingles Markets' Property, Plant & Equipment (Net) came in at $1.5 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.5% from $1.52 billion a year earlier and down 0.1% from the prior quarter.
Ingles Markets (IMKTA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets' Property, Plant & Equipment (Net) was $1.52 billion, down 0.8% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $1.53 billion in FY2024 (+6.6%), $1.43 billion in FY2023 (+4.2%), $1.37 billion in FY2022 (+0.2%) and $1.37 billion in FY2021 (+1.2%).
- The fiscal Q3 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2024.
- Year-over-year, Property, Plant & Equipment (Net) has declined for four 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 Q4 2024 (growth of 6.6%), and the weakest in fiscal Q3 2026 (a decline of 1.5%).
- Business Quant data shows IMKTA's Property, Plant & Equipment (Net) at $1.5 billion (Q2 2026), $1.52 billion (Q1 2026) and $1.52 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 34.29 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 5.97 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 25.27 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Ingles Markets | 1.65 Bn | 1.65 Bn | 332.44 Mn | 1.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.50 Bn |
| Mar 28, 2026 | 1.50 Bn |
| Dec 27, 2025 | 1.52 Bn |
| Sep 27, 2025 | 1.52 Bn |
| Jun 28, 2025 | 1.52 Bn |
| Mar 29, 2025 | 1.52 Bn |
| Dec 28, 2024 | 1.53 Bn |
| Sep 28, 2024 | 1.53 Bn |
| Jun 29, 2024 | 1.50 Bn |
| Mar 30, 2024 | 1.48 Bn |
| Dec 30, 2023 | 1.46 Bn |
| Sep 30, 2023 | 1.43 Bn |
| Jun 24, 2023 | 1.42 Bn |
| Mar 25, 2023 | 1.40 Bn |
| Dec 24, 2022 | 1.40 Bn |
| Sep 24, 2022 | 1.37 Bn |
| Jun 25, 2022 | 1.36 Bn |
| Mar 26, 2022 | 1.34 Bn |
| Dec 25, 2021 | 1.36 Bn |
| Sep 25, 2021 | 1.37 Bn |
Ingles Markets 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=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "IMKTA", "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=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();