Marzetti (MZTI) Return on Assets [ROA] (2010 - 2026)
Marzetti (MZTI) posted Return on Assets [ROA] of 10.76% for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 2.24 percentage points from 13.00% a year earlier and down 2.18 percentage points from the prior quarter.
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Analysis
Marzetti (MZTI) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti's Return on Assets [ROA] came in at 13.31%, down 0.18 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of -0.28 percentage points (FY2021 to FY2026).
- In prior fiscal years, Marzetti's Return on Assets [ROA] was 13.49% in FY2025 (-0.19 pp), 13.67% in FY2024 (+3.57 pp), 10.10% in FY2023 (+1.93 pp) and 8.18% in FY2022 (-5.41 pp).
- The fiscal Q1 2027 figure stands as the lowest quarterly Return on Assets [ROA] since fiscal Q1 2024.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last three quarters, with an average year-over-year change of +0.13 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q4 2024, with a gain of 3.53 percentage points; the weakest was fiscal Q3 2022, with a drop of 4.99 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 12.94% (Q4 2026), 13.10% (Q3 2026) and 13.49% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 5.72% |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 12.87% |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -4.79% |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 8.69% |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 7.78% |
| 10 | Marzetti | 2.98 Bn | 2.51 Bn | 110.77 Mn | 10.76% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.76% |
| Jun 30, 2026 | 12.94% |
| Mar 31, 2026 | 13.10% |
| Dec 31, 2025 | 13.49% |
| Sep 30, 2025 | 13.00% |
| Jun 30, 2025 | 13.12% |
| Mar 31, 2025 | 13.48% |
| Dec 31, 2024 | 12.77% |
| Sep 30, 2024 | 13.15% |
| Jun 30, 2024 | 13.33% |
| Mar 31, 2024 | 11.46% |
| Dec 31, 2023 | 11.33% |
| Sep 30, 2023 | 10.49% |
| Jun 30, 2023 | 9.80% |
| Mar 31, 2023 | 11.43% |
| Dec 31, 2022 | 9.00% |
| Sep 30, 2022 | 8.69% |
| Jun 30, 2022 | 8.17% |
| Mar 31, 2022 | 8.30% |
| Dec 31, 2021 | 11.24% |
API Access
Marzetti Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();