Ingles Markets (IMKTA) Total Liabilities (2010 - 2026)
Ingles Markets (IMKTA) posted Total Liabilities of $948.71 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 0.5% from $953.29 million a year earlier but up 1.7% from the prior quarter.
Ingles Markets (IMKTA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets' Total Liabilities came in at $950.12 million, down 3.3% from FY2024.
- Annual Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In prior fiscal years, Ingles Markets' Total Liabilities was $982.13 million in FY2024 (-3.2%), $1.01 billion in FY2023 (-2.0%), $1.04 billion in FY2022 (+0.1%) and $1.04 billion in FY2021 (-4.2%).
- Quarterly Total Liabilities has run from a low of $930.27 million in fiscal Q1 2026 to a high of $1.04 billion in fiscal Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 15 quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2022, with growth of 0.1%; the weakest was fiscal Q3 2022, with a decline of 23.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $932.91 million (Q2 2026), $930.27 million (Q1 2026) and $950.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.70 Bn | 893.14 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 441.66 Bn | 364.94 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.63 Bn | 33.88 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.32 Bn | 24.00 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.27 Bn | 23.26 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.82 Bn | 20.44 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.59 Bn | 22.39 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.31 Bn | 16.48 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 948.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 948.71 Mn |
| Mar 28, 2026 | 932.91 Mn |
| Dec 27, 2025 | 930.27 Mn |
| Sep 27, 2025 | 950.12 Mn |
| Jun 28, 2025 | 953.29 Mn |
| Mar 29, 2025 | 934.61 Mn |
| Dec 28, 2024 | 931.66 Mn |
| Sep 28, 2024 | 982.13 Mn |
| Jun 29, 2024 | 991.89 Mn |
| Mar 30, 2024 | 960.87 Mn |
| Dec 30, 2023 | 963.39 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 24, 2023 | 999.83 Mn |
| Mar 25, 2023 | 980.86 Mn |
| Dec 24, 2022 | 1.02 Bn |
| Sep 24, 2022 | 1.04 Bn |
| Jun 25, 2022 | 1.03 Bn |
| Mar 26, 2022 | 1.00 Bn |
| Dec 25, 2021 | 1.03 Bn |
| Sep 25, 2021 | 1.04 Bn |
Ingles Markets Total Liabilities 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=total-liabilities&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();