Marzetti (MZTI) Revenue (2009 - 2026)
Marzetti (MZTI) posted Revenue of $465.03 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.2% from $475.43 million a year earlier but up 2.6% from the prior quarter.
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Analysis
Marzetti (MZTI) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti's Revenue came in at $1.93 billion, up 1.1% from FY2025.
- Annual Revenue has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, Marzetti's Revenue was $1.91 billion in FY2025 (+2.0%), $1.87 billion in FY2024 (+2.7%), $1.82 billion in FY2023 (+8.7%) and $1.68 billion in FY2022 (+14.3%).
- Quarterly Revenue has run from a low of $392.06 million in fiscal Q1 2022 to a high of $517.95 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Revenue increased in five of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q4 2022, with growth of 17.3%; the weakest was fiscal Q3 2025, with a decline of 2.9%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $453.37 million (Q3 2026), $517.95 million (Q2 2026) and $493.47 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.94 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 465.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.03 Mn |
| Mar 31, 2026 | 453.37 Mn |
| Dec 31, 2025 | 517.95 Mn |
| Sep 30, 2025 | 493.47 Mn |
| Jun 30, 2025 | 475.43 Mn |
| Mar 31, 2025 | 457.84 Mn |
| Dec 31, 2024 | 509.30 Mn |
| Sep 30, 2024 | 466.56 Mn |
| Jun 30, 2024 | 452.83 Mn |
| Mar 31, 2024 | 471.45 Mn |
| Dec 31, 2023 | 485.92 Mn |
| Sep 30, 2023 | 461.57 Mn |
| Jun 30, 2023 | 454.66 Mn |
| Mar 31, 2023 | 464.94 Mn |
| Dec 31, 2022 | 477.39 Mn |
| Sep 30, 2022 | 425.54 Mn |
| Jun 30, 2022 | 452.41 Mn |
| Mar 31, 2022 | 403.49 Mn |
| Dec 31, 2021 | 428.43 Mn |
| Sep 30, 2021 | 392.06 Mn |
API Access
Marzetti Revenue 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=revenue&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();