J M Smucker (SJM) Return on Sales [ROS] (2009 - 2026)
J M Smucker (SJM) reported Return on Sales [ROS] of 23.05% for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 20.89 percentage points from 2.16% a year earlier and up 3.45 percentage points from the prior quarter.
J M Smucker (SJM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, J M Smucker's Return on Sales [ROS] came in at 9.02%, up 20.24 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 3.98%, up 11.70 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -13.35 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -7.72% in FY2025 (-23.69 pp), 15.97% in FY2024 (+14.12 pp), 1.85% in FY2023 (-10.95 pp) and 12.80% in FY2022 (-4.53 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2010.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of -3.31 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2026 (a gain of 47.54 percentage points); the low point was fiscal Q4 2025 (a drop of 46.35 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 19.60% (Q4 2026), -23.44% (Q3 2026) and 17.96% (Q2 2026).
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 |
|---|---|
| Jul 31, 2026 | 23.05% |
| Apr 30, 2026 | 19.60% |
| Jan 31, 2026 | -23.44% |
| Oct 31, 2025 | 17.96% |
| Jul 31, 2025 | 2.16% |
| Apr 30, 2025 | -27.95% |
| Jan 31, 2025 | -27.17% |
| Oct 31, 2024 | 7.47% |
| Jul 31, 2024 | 16.45% |
| Apr 30, 2024 | 18.41% |
| Jan 31, 2024 | 13.34% |
| Oct 31, 2023 | 15.42% |
| Jul 31, 2023 | 16.81% |
| Apr 30, 2023 | -28.35% |
| Jan 31, 2023 | 14.34% |
| Oct 31, 2022 | 13.31% |
| Jul 31, 2022 | 9.59% |
| Apr 30, 2022 | 14.85% |
| Jan 31, 2022 | 7.32% |
| Oct 31, 2021 | 15.21% |
J M Smucker 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=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SJM", "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=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();