Ingles Markets (IMKTA) EBT (2010 - 2026)
Ingles Markets (IMKTA) reported EBT of $33.02 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 6.3% from $35.25 million a year earlier but up 0.8% from the prior quarter.
Ingles Markets (IMKTA) EBT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Ingles Markets' EBT came in at $136.42 million, up 85.0% year-over-year; for FY2025 (ended Sep 27, 2025), it was $109.94 million, down 21.2% from FY2024.
- EBT has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- By fiscal year, EBT came in at $139.5 million in FY2024 (-49.9%), $278.5 million in FY2023 (-22.9%), $361.27 million in FY2022 (+10.3%) and $327.61 million in FY2021 (+39.4%).
- Five-year quarterly EBT spans a low of -$2.97 million in fiscal Q4 2024 and a high of $93.47 million in fiscal Q4 2021.
- Year over year, EBT gained in two of the last six quarters, with an average decline of 0.1%.
- The high point for year-over-year EBT in five years was fiscal Q1 2026 (growth of 71.3%); the low point was fiscal Q1 2025 (a decline of 62.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $32.74 million (Q2 2026), $37.45 million (Q1 2026) and $33.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 8.01 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 2.94 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 720.00 Mn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 840.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 726.28 Mn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 347.03 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 686.40 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 369.00 Mn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 450.01 Mn |
| 10 | Ingles Markets | 1.62 Bn | 1.62 Bn | 332.44 Mn | 33.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 33.02 Mn |
| Mar 28, 2026 | 32.74 Mn |
| Dec 27, 2025 | 37.45 Mn |
| Sep 27, 2025 | 33.22 Mn |
| Jun 28, 2025 | 35.25 Mn |
| Mar 29, 2025 | 19.60 Mn |
| Dec 28, 2024 | 21.86 Mn |
| Sep 28, 2024 | -2.97 Mn |
| Jun 29, 2024 | 42.35 Mn |
| Mar 30, 2024 | 42.60 Mn |
| Dec 30, 2023 | 57.53 Mn |
| Sep 30, 2023 | 68.64 Mn |
| Jun 24, 2023 | 63.98 Mn |
| Mar 25, 2023 | 54.04 Mn |
| Dec 24, 2022 | 91.85 Mn |
| Sep 24, 2022 | 93.20 Mn |
| Jun 25, 2022 | 90.49 Mn |
| Mar 26, 2022 | 91.01 Mn |
| Dec 25, 2021 | 86.58 Mn |
| Sep 25, 2021 | 93.47 Mn |
Ingles Markets EBT 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=ebt&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();