Marzetti (MZTI) EBITDA (2009 - 2026)
Marzetti (MZTI) recorded EBITDA of $77.35 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 38.1% from $56.03 million a year earlier and up 20.6% from the prior quarter.
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Analysis
Marzetti (MZTI) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti reported EBITDA of $310.16 million, up 9.8% from FY2025.
- Annual EBITDA has increased for four straight fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $282.49 million in FY2025 (+10.7%), $255.26 million in FY2024 (+32.5%), $192.72 million in FY2023 (+22.1%) and $157.79 million in FY2022 (-31.5%).
- Quarterly EBITDA has ranged from $3.96 million in fiscal Q3 2022 to $92.72 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 11.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 988.5% in fiscal Q3 2023, against a decline of 91.9% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $64.12 million (Q3 2026), $92.72 million (Q2 2026) and $75.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 349.90 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 77.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.35 Mn |
| Mar 31, 2026 | 64.12 Mn |
| Dec 31, 2025 | 92.72 Mn |
| Sep 30, 2025 | 75.97 Mn |
| Jun 30, 2025 | 56.03 Mn |
| Mar 31, 2025 | 65.53 Mn |
| Dec 31, 2024 | 90.71 Mn |
| Sep 30, 2024 | 70.22 Mn |
| Jun 30, 2024 | 55.69 Mn |
| Mar 31, 2024 | 49.52 Mn |
| Dec 31, 2023 | 79.69 Mn |
| Sep 30, 2023 | 70.37 Mn |
| Jun 30, 2023 | 26.02 Mn |
| Mar 31, 2023 | 43.06 Mn |
| Dec 31, 2022 | 63.14 Mn |
| Sep 30, 2022 | 60.50 Mn |
| Jun 30, 2022 | 45.17 Mn |
| Mar 31, 2022 | 3.96 Mn |
| Dec 31, 2021 | 56.89 Mn |
| Sep 30, 2021 | 51.77 Mn |
API Access
Marzetti EBITDA 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=ebitda&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();