Marzetti (MZTI) Return on Sales [ROS] (2009 - 2026)
Marzetti (MZTI) posted Return on Sales [ROS] of 8.61% for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 3.40 percentage points from 12.01% a year earlier and down 3.80 percentage points from the prior quarter.
Marzetti (MZTI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Marzetti was 11.52%, down 0.04 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 12.37%, up 0.83 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for four consecutive fiscal years, though with a five-year change of -0.30 percentage points (FY2021 to FY2026).
- In prior fiscal years, Marzetti's Return on Sales [ROS] was 11.54% in FY2025 (+0.89 pp), 10.65% in FY2024 (+2.89 pp), 7.76% in FY2023 (+1.09 pp) and 6.68% in FY2022 (-5.99 pp).
- The fiscal Q1 2027 figure stands as the lowest quarterly Return on Sales [ROS] since fiscal Q4 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.45 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2023, with a gain of 8.21 percentage points; the weakest was fiscal Q3 2022, with a drop of 12.35 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 12.41% (Q4 2026), 10.27% (Q3 2026) and 14.52% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 17.64% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 24.96% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 14.31% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 2.76% |
| 10 | Marzetti | 2.98 Bn | 2.51 Bn | 110.77 Mn | 8.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.61% |
| Jun 30, 2026 | 12.41% |
| Mar 31, 2026 | 10.27% |
| Dec 31, 2025 | 14.52% |
| Sep 30, 2025 | 12.01% |
| Jun 30, 2025 | 8.19% |
| Mar 31, 2025 | 10.89% |
| Dec 31, 2024 | 14.86% |
| Sep 30, 2024 | 11.97% |
| Jun 30, 2024 | 9.21% |
| Mar 31, 2024 | 7.45% |
| Dec 31, 2023 | 13.53% |
| Sep 30, 2023 | 12.30% |
| Jun 30, 2023 | 2.52% |
| Mar 31, 2023 | 6.33% |
| Dec 31, 2022 | 10.75% |
| Sep 30, 2022 | 11.58% |
| Jun 30, 2022 | 7.45% |
| Mar 31, 2022 | -1.89% |
| Dec 31, 2021 | 10.57% |
Marzetti 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=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MZTI", "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=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();