Ingles Markets (IMKTA) Other Accumulated Expenses (2010 - 2026)
Ingles Markets' Other Accumulated Expenses came in at $20.76 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 2.1% from $20.34 million a year earlier and up 24.5% from the prior quarter.
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Analysis
Ingles Markets (IMKTA) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets' Other Accumulated Expenses was $24.42 million, up 8.1% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $22.59 million in FY2024 (-10.4%), $25.2 million in FY2023 (+8.1%), $23.31 million in FY2022 (+3.0%) and $22.62 million in FY2021 (+1.3%).
- The five-year range for quarterly Other Accumulated Expenses is $13.42 million (fiscal Q1 2022) to $25.2 million (fiscal Q4 2023).
- Year-over-year, Other Accumulated Expenses increased in five of the last eight quarters, with an average year-over-year change of 0.0%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2023 (growth of 30.5%), and the weakest in fiscal Q1 2022 (a decline of 37.0%).
- Business Quant data shows IMKTA's Other Accumulated Expenses at $16.68 million (Q2 2026), $17 million (Q1 2026) and $24.42 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Ingles Markets | 1.65 Bn | 1.65 Bn | 332.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 20.76 Mn |
| Mar 28, 2026 | 16.68 Mn |
| Dec 27, 2025 | 17.00 Mn |
| Sep 27, 2025 | 24.42 Mn |
| Jun 28, 2025 | 20.34 Mn |
| Mar 29, 2025 | 17.34 Mn |
| Dec 28, 2024 | 16.55 Mn |
| Sep 28, 2024 | 22.59 Mn |
| Jun 29, 2024 | 22.75 Mn |
| Mar 30, 2024 | 16.83 Mn |
| Dec 30, 2023 | 15.16 Mn |
| Sep 30, 2023 | 25.20 Mn |
| Jun 24, 2023 | 20.14 Mn |
| Mar 25, 2023 | 14.35 Mn |
| Dec 24, 2022 | 17.52 Mn |
| Sep 24, 2022 | 23.31 Mn |
| Jun 25, 2022 | 19.99 Mn |
| Mar 26, 2022 | 14.01 Mn |
| Dec 25, 2021 | 13.42 Mn |
| Sep 25, 2021 | 22.62 Mn |
API Access
Ingles Markets Other Accumulated Expenses 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=other-accumulated-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();