Ingles Markets (IMKTA) Revenue (2010 - 2026)
Ingles Markets (IMKTA) posted Revenue of $1.37 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 1.6% from $1.35 billion a year earlier and up 4.6% from the prior quarter.
Ingles Markets (IMKTA) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Revenue at Ingles Markets was $5.42 billion, up 1.0% year-over-year; for FY2025 (ended Sep 27, 2025), it was $5.33 billion, down 5.4% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior fiscal years, Ingles Markets' Revenue was $5.64 billion in FY2024 (-4.3%), $5.89 billion in FY2023 (+3.8%), $5.68 billion in FY2022 (+13.9%) and $4.99 billion in FY2021 (+8.2%).
- Quarterly Revenue has run from a low of $1.29 billion in fiscal Q1 2025 to a high of $1.58 billion in fiscal Q4 2023 over five years.
- On a year-over-year basis, Revenue increased in two of the last eight quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q1 2022, with growth of 16.9%; the weakest was fiscal Q1 2025, with a decline of 13.0%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.31 billion (Q2 2026), $1.37 billion (Q1 2026) and $1.37 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.37 Bn |
| Mar 28, 2026 | 1.31 Bn |
| Dec 27, 2025 | 1.37 Bn |
| Sep 27, 2025 | 1.37 Bn |
| Jun 28, 2025 | 1.35 Bn |
| Mar 29, 2025 | 1.33 Bn |
| Dec 28, 2024 | 1.29 Bn |
| Sep 28, 2024 | 1.40 Bn |
| Jun 29, 2024 | 1.39 Bn |
| Mar 30, 2024 | 1.37 Bn |
| Dec 30, 2023 | 1.48 Bn |
| Sep 30, 2023 | 1.58 Bn |
| Jun 24, 2023 | 1.43 Bn |
| Mar 25, 2023 | 1.38 Bn |
| Dec 24, 2022 | 1.49 Bn |
| Sep 24, 2022 | 1.45 Bn |
| Jun 25, 2022 | 1.46 Bn |
| Mar 26, 2022 | 1.38 Bn |
| Dec 25, 2021 | 1.39 Bn |
| Sep 25, 2021 | 1.34 Bn |
Ingles Markets Revenue 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=revenue&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();