Ingles Markets (IMKTA) Return on Sales [ROS] (2010 - 2026)
Ingles Markets (IMKTA) recorded Return on Sales [ROS] of 2.52% in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 0.25 percentage points from 2.77% a year earlier and down 0.12 percentage points from the prior quarter.
Ingles Markets (IMKTA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Ingles Markets' Return on Sales [ROS] came in at 2.64% as of Jun 27, 2026, up 1.13 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at 2.20%, down 0.40 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four straight fiscal years, with a five-year change of -3.89 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 2.61% in FY2024 (-2.35 pp), 4.96% in FY2023 (-1.68 pp), 6.64% in FY2022 (-0.38 pp) and 7.02% in FY2021 (+0.92 pp).
- The fiscal Q3 2026 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -0.55 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.66 percentage points in fiscal Q4 2025, against a drop of 4.62 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 2.64% (Q2 2026), 2.85% (Q1 2026) and 2.56% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 3.99% |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 4.44% |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 2.80% |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 10.29% |
| 10 | Ingles Markets | 1.65 Bn | 1.65 Bn | 332.44 Mn | 2.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.52% |
| Mar 28, 2026 | 2.64% |
| Dec 27, 2025 | 2.85% |
| Sep 27, 2025 | 2.56% |
| Jun 28, 2025 | 2.77% |
| Mar 29, 2025 | 1.63% |
| Dec 28, 2024 | 1.83% |
| Sep 28, 2024 | -0.10% |
| Jun 29, 2024 | 3.17% |
| Mar 30, 2024 | 3.28% |
| Dec 30, 2023 | 4.03% |
| Sep 30, 2023 | 4.52% |
| Jun 24, 2023 | 4.69% |
| Mar 25, 2023 | 4.18% |
| Dec 24, 2022 | 6.41% |
| Sep 24, 2022 | 6.67% |
| Jun 25, 2022 | 6.49% |
| Mar 26, 2022 | 6.90% |
| Dec 25, 2021 | 6.50% |
| Sep 25, 2021 | 7.39% |
Ingles Markets Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();