Ingles Markets (IMKTA) Interest Expenses (2010 - 2026)
Ingles Markets' Interest Expenses was $4.5 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 7.3% from $4.86 million a year earlier but up 0.2% from the prior quarter.
Ingles Markets (IMKTA) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ingles Markets' Interest Expenses was $18.57 million through Jun 27, 2026, down 6.9% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $19.71 million, down 9.8% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $21.86 million in FY2024 (-0.9%), $22.07 million in FY2023 (+2.6%), $21.51 million in FY2022 (-11.6%) and $24.33 million in FY2021 (-40.0%).
- Quarterly Interest Expenses has moved between $4.5 million (fiscal Q2 2026) and $6.21 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Interest Expenses has declined for nine straight quarters, with an average decline of 9.3% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q4 2023 (growth of 10.3%); the worst was fiscal Q4 2021 (a decline of 28.5%).
- Per Business Quant data, IMKTA's Interest Expenses in the three fiscal quarters before Q3 2026 was $4.5 million (Q2 2026), $4.61 million (Q1 2026) and $4.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 32.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 3.00 Mn |
| 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 | 22.06 Mn |
| 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 | 77.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 4.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.50 Mn |
| Mar 28, 2026 | 4.50 Mn |
| Dec 27, 2025 | 4.61 Mn |
| Sep 27, 2025 | 4.96 Mn |
| Jun 28, 2025 | 4.86 Mn |
| Mar 29, 2025 | 4.88 Mn |
| Dec 28, 2024 | 5.01 Mn |
| Sep 28, 2024 | 5.21 Mn |
| Jun 29, 2024 | 5.36 Mn |
| Mar 30, 2024 | 5.59 Mn |
| Dec 30, 2023 | 5.71 Mn |
| Sep 30, 2023 | 5.94 Mn |
| Jun 24, 2023 | 5.44 Mn |
| Mar 25, 2023 | 5.34 Mn |
| Dec 24, 2022 | 5.35 Mn |
| Sep 24, 2022 | 5.38 Mn |
| Jun 25, 2022 | 5.29 Mn |
| Mar 26, 2022 | 5.43 Mn |
| Dec 25, 2021 | 5.41 Mn |
| Sep 25, 2021 | 6.21 Mn |
Ingles Markets Interest 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=interest-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();