Marzetti (MZTI) EBIT (2009 - 2026)
Marzetti (MZTI) posted EBIT of $57.69 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 48.2% from $38.92 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Marzetti (MZTI) EBIT (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti's EBIT came in at $238.71 million, up 8.3% from FY2025.
- Annual EBIT has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In prior fiscal years, Marzetti's EBIT was $220.32 million in FY2025 (+10.5%), $199.36 million in FY2024 (+40.9%), $141.51 million in FY2023 (+26.4%) and $111.91 million in FY2022 (-39.8%).
- Quarterly EBIT has run from a low of -$7.62 million in fiscal Q3 2022 to a high of $75.66 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, EBIT increased in four of the last eight quarters, with growth averaging 12.0%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2024, with growth of 263.3%; the weakest was fiscal Q4 2023, with a decline of 66.0%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $46.58 million (Q3 2026), $75.18 million (Q2 2026) and $59.26 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 633.60 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 511.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 276.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 57.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.69 Mn |
| Mar 31, 2026 | 46.58 Mn |
| Dec 31, 2025 | 75.18 Mn |
| Sep 30, 2025 | 59.26 Mn |
| Jun 30, 2025 | 38.92 Mn |
| Mar 31, 2025 | 49.88 Mn |
| Dec 31, 2024 | 75.66 Mn |
| Sep 30, 2024 | 55.86 Mn |
| Jun 30, 2024 | 41.69 Mn |
| Mar 31, 2024 | 35.15 Mn |
| Dec 31, 2023 | 65.75 Mn |
| Sep 30, 2023 | 56.78 Mn |
| Jun 30, 2023 | 11.48 Mn |
| Mar 31, 2023 | 29.41 Mn |
| Dec 31, 2022 | 51.33 Mn |
| Sep 30, 2022 | 49.30 Mn |
| Jun 30, 2022 | 33.71 Mn |
| Mar 31, 2022 | -7.62 Mn |
| Dec 31, 2021 | 45.31 Mn |
| Sep 30, 2021 | 40.51 Mn |
API Access
Marzetti EBIT 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=ebit&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();