Ingles Markets (IMKTA) Other Operating Expenses (2010 - 2026)
Ingles Markets' Other Operating Expenses came in at $3.51 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 23.1% from $4.56 million a year earlier and down 32.4% from the prior quarter.
Ingles Markets (IMKTA) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ingles Markets reported Other Operating Expenses of $19.19 million, down 93.8% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $17.04 million, up 5.5% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -54.8% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $16.16 million in FY2024 (-23.4%), $21.08 million in FY2023 (-97.9%), $1.03 billion in FY2022 (+8.3%) and $946.93 million in FY2021 (+4.5%).
- The fiscal Q3 2026 figure represents the lowest quarterly Other Operating Expenses since fiscal Q1 2025.
- Year-over-year, Other Operating Expenses increased in 1 of the last seven quarters, with an average decline of 62.2%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2023 (growth of 11.7%), and the weakest in fiscal Q1 2025 (a decline of 100.0%).
- Business Quant data shows IMKTA's Other Operating Expenses at $5.19 million (Q2 2026), $4.41 million (Q1 2026) and $6.09 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.51 Mn |
| Mar 28, 2026 | 5.19 Mn |
| Dec 27, 2025 | 4.41 Mn |
| Sep 27, 2025 | 6.09 Mn |
| Jun 28, 2025 | 4.56 Mn |
| Mar 29, 2025 | 6.37 Mn |
| Dec 28, 2024 | 34,000.00 |
| Sep 28, 2024 | 300.96 Mn |
| Jun 29, 2024 | 286.25 Mn |
| Mar 30, 2024 | 284.76 Mn |
| Dec 30, 2023 | 289.83 Mn |
| Sep 30, 2023 | 299.40 Mn |
| Jun 24, 2023 | 270.91 Mn |
| Mar 25, 2023 | 268.89 Mn |
| Dec 24, 2022 | 276.18 Mn |
| Sep 24, 2022 | 268.03 Mn |
| Jun 25, 2022 | 257.34 Mn |
| Mar 26, 2022 | 254.74 Mn |
| Dec 25, 2021 | 260.09 Mn |
| Sep 25, 2021 | 248.87 Mn |
Ingles Markets Other Operating 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-operating-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();