Ingles Markets (IMKTA) EBITDA (2010 - 2026)
Ingles Markets' EBITDA was $64.58 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 5.1% from $68.02 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Ingles Markets (IMKTA) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ingles Markets' EBITDA was $264.25 million through Jun 27, 2026, up 27.4% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $240.47 million, down 10.5% from FY2024.
- EBITDA has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $268.77 million in FY2024 (-34.2%), $408.28 million in FY2023 (-17.5%), $494.74 million in FY2022 (+5.9%) and $467.16 million in FY2021 (+17.6%).
- Quarterly EBITDA has moved between $32.65 million (fiscal Q4 2024) and $126.16 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2025 (growth of 101.2%); the worst was fiscal Q4 2024 (a decline of 67.6%).
- Per Business Quant data, IMKTA's EBITDA in the three fiscal quarters before Q3 2026 was $64.54 million (Q2 2026), $69.43 million (Q1 2026) and $65.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 938.89 Bn | 895.32 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 441.44 Bn | 364.72 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.34 Bn | 33.59 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.49 Bn | 24.64 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.44 Bn | 24.12 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.45 Bn | 23.44 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.97 Bn | 20.59 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.17 Bn | 16.33 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 64.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 64.58 Mn |
| Mar 28, 2026 | 64.54 Mn |
| Dec 27, 2025 | 69.43 Mn |
| Sep 27, 2025 | 65.70 Mn |
| Jun 28, 2025 | 68.02 Mn |
| Mar 29, 2025 | 52.24 Mn |
| Dec 28, 2024 | 54.51 Mn |
| Sep 28, 2024 | 32.65 Mn |
| Jun 29, 2024 | 73.66 Mn |
| Mar 30, 2024 | 74.06 Mn |
| Dec 30, 2023 | 88.40 Mn |
| Sep 30, 2023 | 100.76 Mn |
| Jun 24, 2023 | 96.15 Mn |
| Mar 25, 2023 | 86.51 Mn |
| Dec 24, 2022 | 124.86 Mn |
| Sep 24, 2022 | 126.16 Mn |
| Jun 25, 2022 | 123.82 Mn |
| Mar 26, 2022 | 125.06 Mn |
| Dec 25, 2021 | 119.70 Mn |
| Sep 25, 2021 | 124.91 Mn |
API Access
Ingles Markets EBITDA 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=ebitda&ticker=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();