Marzetti (MZTI) Return on Assets [ROA] (2010 - 2026)
Marzetti (MZTI) posted Return on Assets [ROA] of 12.94% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.18 percentage points from 13.12% a year earlier and down 0.16 percentage points from the prior quarter.
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 Q4 2026 figure stands as the lowest quarterly Return on Assets [ROA] since fiscal Q2 2025.
- On a year-over-year basis, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of +0.74 percentage points.
- 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 13.10% (Q3 2026), 13.49% (Q2 2026) and 13.00% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.69% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 7.77% |
| 10 | Marzetti | 2.72 Bn | 2.09 Bn | 113.99 Mn | 12.94% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 12.26% |
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_KEY
import 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();