Ingles Markets (IMKTA) Change in Accured Expenses (2010 - 2026)
Ingles Markets (IMKTA) recorded Change in Accured Expenses of $23.53 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 62.6% from $14.47 million a year earlier and up 68.2% from the prior quarter.
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Analysis
Ingles Markets (IMKTA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Ingles Markets' Change in Accured Expenses came in at $33.56 million as of Jun 27, 2026; for FY2025 (ended Sep 27, 2025), it was -$11.13 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$3.82 million in FY2024, $5.11 million in FY2023 (-77.4%), $22.62 million in FY2022 and -$7.15 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Change in Accured Expenses since fiscal Q3 2024.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 31.5%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 256.4% in fiscal Q1 2022, against a decline of 92.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.99 million (Q2 2026), -$7.93 million (Q1 2026) and $3.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | -50.26 Mn |
| 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 | 5.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Ingles Markets | 1.65 Bn | 1.65 Bn | 332.44 Mn | 23.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.53 Mn |
| Mar 28, 2026 | 13.99 Mn |
| Dec 27, 2025 | -7.93 Mn |
| Sep 27, 2025 | 3.97 Mn |
| Jun 28, 2025 | 14.47 Mn |
| Mar 29, 2025 | 8.22 Mn |
| Dec 28, 2024 | -37.79 Mn |
| Sep 28, 2024 | 1.44 Mn |
| Jun 29, 2024 | 34.38 Mn |
| Mar 30, 2024 | -973,922.00 |
| Dec 30, 2023 | -38.67 Mn |
| Sep 30, 2023 | 18.61 Mn |
| Jun 24, 2023 | 20.77 Mn |
| Mar 25, 2023 | -29.43 Mn |
| Dec 24, 2022 | -4.84 Mn |
| Sep 24, 2022 | 13.95 Mn |
| Jun 25, 2022 | 24.52 Mn |
| Mar 26, 2022 | -24.22 Mn |
| Dec 25, 2021 | 8.36 Mn |
| Sep 25, 2021 | 21.20 Mn |
API Access
Ingles Markets Change in Accured 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=change-in-accured-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();