Ingles Markets (IMKTA) Inventory (2010 - 2026)
Ingles Markets (IMKTA) reported Inventory of $479.65 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.6% from $487.54 million a year earlier but up 0.1% from the prior quarter.
Ingles Markets (IMKTA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets posted Inventory of $482.98 million, up 4.5% from FY2024.
- Inventory has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $462.08 million in FY2024 (-6.4%), $493.86 million in FY2023 (+7.8%), $457.95 million in FY2022 (+17.4%) and $389.95 million in FY2021 (+6.3%).
- Five-year quarterly Inventory spans a low of $389.47 million in fiscal Q1 2022 and a high of $501.05 million in fiscal Q1 2024.
- Year over year, Inventory has now declined in each of the last three quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q1 2023 (growth of 19.3%); the low point was fiscal Q4 2024 (a decline of 6.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $479.41 million (Q2 2026), $485.29 million (Q1 2026) and $482.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 19.42 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | - |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Ingles Markets | 1.62 Bn | 1.62 Bn | 332.44 Mn | 479.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 479.65 Mn |
| Mar 28, 2026 | 479.41 Mn |
| Dec 27, 2025 | 485.29 Mn |
| Sep 27, 2025 | 482.98 Mn |
| Jun 28, 2025 | 487.54 Mn |
| Mar 29, 2025 | 491.18 Mn |
| Dec 28, 2024 | 490.79 Mn |
| Sep 28, 2024 | 462.08 Mn |
| Jun 29, 2024 | 483.55 Mn |
| Mar 30, 2024 | 479.13 Mn |
| Dec 30, 2023 | 501.05 Mn |
| Sep 30, 2023 | 493.86 Mn |
| Jun 24, 2023 | 481.96 Mn |
| Mar 25, 2023 | 474.25 Mn |
| Dec 24, 2022 | 464.83 Mn |
| Sep 24, 2022 | 457.95 Mn |
| Jun 25, 2022 | 418.57 Mn |
| Mar 26, 2022 | 397.89 Mn |
| Dec 25, 2021 | 389.47 Mn |
| Sep 25, 2021 | 389.95 Mn |
Ingles Markets 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=inventory&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();