Ingles Markets (IMKTA) Retained Earnings (2010 - 2026)
Ingles Markets (IMKTA) recorded Retained Earnings of $1.68 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 5.8% from $1.59 billion a year earlier and up 1.4% from the prior quarter.
Ingles Markets (IMKTA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ingles Markets reported Retained Earnings of $1.61 billion, up 4.6% from FY2024.
- Annual Retained Earnings has increased for 12 straight fiscal years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Across earlier fiscal years, Retained Earnings came in at $1.54 billion in FY2024 (+6.5%), $1.44 billion in FY2023 (+15.9%), $1.25 billion in FY2022 (+26.4%) and $985.73 million in FY2021 (+20.8%).
- The fiscal Q3 2026 figure is the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for 51 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 2.9% in fiscal Q3 2025 to 31.4% in fiscal Q2 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $1.66 billion (Q2 2026), $1.63 billion (Q1 2026) and $1.61 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 1.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.68 Bn |
| Mar 28, 2026 | 1.66 Bn |
| Dec 27, 2025 | 1.63 Bn |
| Sep 27, 2025 | 1.61 Bn |
| Jun 28, 2025 | 1.59 Bn |
| Mar 29, 2025 | 1.56 Bn |
| Dec 28, 2024 | 1.55 Bn |
| Sep 28, 2024 | 1.54 Bn |
| Jun 29, 2024 | 1.54 Bn |
| Mar 30, 2024 | 1.51 Bn |
| Dec 30, 2023 | 1.49 Bn |
| Sep 30, 2023 | 1.44 Bn |
| Jun 24, 2023 | 1.40 Bn |
| Mar 25, 2023 | 1.35 Bn |
| Dec 24, 2022 | 1.31 Bn |
| Sep 24, 2022 | 1.25 Bn |
| Jun 25, 2022 | 1.18 Bn |
| Mar 26, 2022 | 1.11 Bn |
| Dec 25, 2021 | 1.05 Bn |
| Sep 25, 2021 | 985.73 Mn |
Ingles Markets Retained Earnings 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=retained-earnings&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();