Marzetti (MZTI) Cost of Revenue (2009 - 2026)
Marzetti's Cost of Revenue was $351.04 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.0% from $369.34 million a year earlier but up 1.4% from the prior quarter.
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Analysis
Marzetti (MZTI) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Cost of Revenue at Marzetti came in at $1.45 billion, down 0.1% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $1.45 billion in FY2025 (+1.0%), $1.44 billion in FY2024 (+0.4%), $1.43 billion in FY2023 (+8.6%) and $1.32 billion in FY2022 (+22.2%).
- Quarterly Cost of Revenue has moved between $299.69 million (fiscal Q1 2022) and $380.69 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Cost of Revenue was higher in five of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q3 2022 (growth of 25.7%); the worst was fiscal Q4 2026 (a decline of 5.0%).
- Per Business Quant data, MZTI's Cost of Revenue in the three fiscal quarters before Q4 2026 was $346.15 million (Q3 2026), $380.69 million (Q2 2026) and $374.65 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Marzetti | 2.72 Bn | 2.09 Bn | 113.99 Mn | 351.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.04 Mn |
| Mar 31, 2026 | 346.15 Mn |
| Dec 31, 2025 | 380.69 Mn |
| Sep 30, 2025 | 374.65 Mn |
| Jun 30, 2025 | 369.34 Mn |
| Mar 31, 2025 | 351.87 Mn |
| Dec 31, 2024 | 376.53 Mn |
| Sep 30, 2024 | 355.73 Mn |
| Jun 30, 2024 | 355.21 Mn |
| Mar 31, 2024 | 366.95 Mn |
| Dec 31, 2023 | 364.45 Mn |
| Sep 30, 2023 | 352.85 Mn |
| Jun 30, 2023 | 361.49 Mn |
| Mar 31, 2023 | 370.70 Mn |
| Dec 31, 2022 | 375.29 Mn |
| Sep 30, 2022 | 326.48 Mn |
| Jun 30, 2022 | 354.00 Mn |
| Mar 31, 2022 | 335.16 Mn |
| Dec 31, 2021 | 331.83 Mn |
| Sep 30, 2021 | 299.69 Mn |
API Access
Marzetti Cost of 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=cost-of-revenue&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();