Ingles Markets (IMKTA) Accumulated Expenses (2012 - 2026)
Ingles Markets (IMKTA) reported Accumulated Expenses of $116.33 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 31.1% from $88.71 million a year earlier and up 15.2% from the prior quarter.
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Analysis
Ingles Markets (IMKTA) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets posted Accumulated Expenses of $100.51 million, up 1.4% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $99.1 million in FY2024 (-1.6%), $100.74 million in FY2023 (+6.1%), $94.97 million in FY2022 (+5.0%) and $90.43 million in FY2021 (-1.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2012.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 10.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2026 (growth of 43.1%); the low point was fiscal Q1 2024 (a decline of 12.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $100.99 million (Q2 2026), $98.42 million (Q1 2026) and $100.51 million (Q4 2025).
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 | 116.33 Mn |
| Mar 28, 2026 | 100.99 Mn |
| Dec 27, 2025 | 98.42 Mn |
| Sep 27, 2025 | 100.51 Mn |
| Jun 28, 2025 | 88.71 Mn |
| Mar 29, 2025 | 83.53 Mn |
| Dec 28, 2024 | 68.76 Mn |
| Sep 28, 2024 | 99.10 Mn |
| Jun 29, 2024 | 89.76 Mn |
| Mar 30, 2024 | 80.41 Mn |
| Dec 30, 2023 | 77.47 Mn |
| Sep 30, 2023 | 100.74 Mn |
| Jun 24, 2023 | 84.64 Mn |
| Mar 25, 2023 | 75.66 Mn |
| Dec 24, 2022 | 88.28 Mn |
| Sep 24, 2022 | 94.97 Mn |
| Jun 25, 2022 | 81.91 Mn |
| Mar 26, 2022 | 73.87 Mn |
| Dec 25, 2021 | 77.75 Mn |
| Sep 25, 2021 | 90.43 Mn |
API Access
Ingles Markets 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=accumulated-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();