Ingles Markets (IMKTA) Net Income (2010 - 2026)
Ingles Markets (IMKTA) posted Net Income of $25.9 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.1% from $26.2 million a year earlier but up 6.7% from the prior quarter.
Ingles Markets (IMKTA) Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Net Income at Ingles Markets was $103.99 million, up 84.3% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $83.59 million, down 20.8% from FY2024.
- Annual Net Income has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In prior fiscal years, Ingles Markets' Net Income was $105.54 million in FY2024 (-49.9%), $210.81 million in FY2023 (-22.7%), $272.76 million in FY2022 (+9.2%) and $249.73 million in FY2021 (+39.8%).
- Quarterly Net Income has run from a low of -$1.47 million in fiscal Q4 2024 to a high of $71.74 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Net Income increased in two of the last six quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q1 2026, with growth of 69.6%; the weakest was fiscal Q1 2025, with a decline of 61.8%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $24.27 million (Q2 2026), $28.13 million (Q1 2026) and $25.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 2.19 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 551.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 642.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 275.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 360.72 Mn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 25.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 25.90 Mn |
| Mar 28, 2026 | 24.27 Mn |
| Dec 27, 2025 | 28.13 Mn |
| Sep 27, 2025 | 25.70 Mn |
| Jun 28, 2025 | 26.20 Mn |
| Mar 29, 2025 | 15.11 Mn |
| Dec 28, 2024 | 16.59 Mn |
| Sep 28, 2024 | -1.47 Mn |
| Jun 29, 2024 | 31.72 Mn |
| Mar 30, 2024 | 31.90 Mn |
| Dec 30, 2023 | 43.39 Mn |
| Sep 30, 2023 | 52.64 Mn |
| Jun 24, 2023 | 48.26 Mn |
| Mar 25, 2023 | 40.54 Mn |
| Dec 24, 2022 | 69.37 Mn |
| Sep 24, 2022 | 70.17 Mn |
| Jun 25, 2022 | 67.76 Mn |
| Mar 26, 2022 | 68.64 Mn |
| Dec 25, 2021 | 66.19 Mn |
| Sep 25, 2021 | 71.74 Mn |
Ingles Markets Net Income 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=net-income&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();