General Mills (GIS) Return on Sales [ROS] (2009 - 2026)
General Mills' Return on Sales [ROS] came in at 14.43% for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 23.77 percentage points from 38.20% a year earlier but up 59.83 percentage points from the prior quarter.
General Mills (GIS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 30, 2026, General Mills reported Return on Sales [ROS] of -1.13%, down 23.05 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 4.81%, down 12.15 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -12.54 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 16.96% in FY2025 (-0.32 pp), 17.28% in FY2024 (+0.19 pp), 17.09% in FY2023 (-1.21 pp) and 18.30% in FY2022 (+0.95 pp).
- The five-year range for quarterly Return on Sales [ROS] is -45.40% (fiscal Q4 2026) to 38.20% (fiscal Q1 2026).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -8.94 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2026 (a gain of 21.05 percentage points), and the weakest in fiscal Q4 2026 (a drop of 56.46 percentage points).
- Business Quant data shows GIS's Return on Sales [ROS] at -45.40% (Q4 2026), 11.82% (Q3 2026) and 14.98% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 10.34% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 14.43% |
| May 31, 2026 | -45.40% |
| Feb 22, 2026 | 11.82% |
| Nov 23, 2025 | 14.98% |
| Aug 24, 2025 | 38.20% |
| May 25, 2025 | 11.06% |
| Feb 23, 2025 | 18.41% |
| Nov 24, 2024 | 20.57% |
| Aug 25, 2024 | 17.15% |
| May 26, 2024 | 16.53% |
| Feb 25, 2024 | 17.86% |
| Nov 26, 2023 | 15.80% |
| Aug 27, 2023 | 18.96% |
| May 28, 2023 | 16.27% |
| Feb 26, 2023 | 14.25% |
| Nov 27, 2022 | 15.32% |
| Aug 28, 2022 | 23.01% |
| May 29, 2022 | 20.77% |
| Feb 27, 2022 | 17.97% |
| Nov 28, 2021 | 15.93% |
General Mills 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=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GIS", "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=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();