Ingles Markets (IMKTA) Total Debt (2010 - 2026)
Ingles Markets (IMKTA) recorded Total Debt of $500.53 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 3.4% from $518.01 million a year earlier and down 0.6% from the prior quarter.
Ingles Markets (IMKTA) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets reported Total Debt of $514.77 million, down 3.4% from FY2024.
- Annual Total Debt has declined for eight straight fiscal years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier fiscal years, Total Debt came in at $532.62 million in FY2024 (-3.2%), $550.16 million in FY2023 (-3.8%), $571.91 million in FY2022 (-3.0%) and $589.51 million in FY2021 (-2.6%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Debt in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Debt has declined for 20 consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Debt ranged from 0.3% (fiscal Q1 2022) to 36.2% (fiscal Q3 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $503.76 million (Q2 2026), $511.53 million (Q1 2026) and $514.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 50.41 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 5.67 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 13.52 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 17.00 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 4.57 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 2.43 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 5.41 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Ingles Markets | 1.62 Bn | 1.62 Bn | 332.44 Mn | 500.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 500.53 Mn |
| Mar 28, 2026 | 503.76 Mn |
| Dec 27, 2025 | 511.53 Mn |
| Sep 27, 2025 | 514.77 Mn |
| Jun 28, 2025 | 518.01 Mn |
| Mar 29, 2025 | 521.59 Mn |
| Dec 28, 2024 | 529.37 Mn |
| Sep 28, 2024 | 532.62 Mn |
| Jun 29, 2024 | 535.87 Mn |
| Mar 30, 2024 | 539.12 Mn |
| Dec 30, 2023 | 546.90 Mn |
| Sep 30, 2023 | 550.16 Mn |
| Jun 24, 2023 | 553.44 Mn |
| Mar 25, 2023 | 556.69 Mn |
| Dec 24, 2022 | 564.47 Mn |
| Sep 24, 2022 | 571.91 Mn |
| Jun 25, 2022 | 575.18 Mn |
| Mar 26, 2022 | 578.45 Mn |
| Dec 25, 2021 | 586.13 Mn |
| Sep 25, 2021 | 589.51 Mn |
Ingles Markets Total Debt 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-debt&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();