Marzetti (MZTI) EPS (Diluted) (2009 - 2026)
Marzetti's EPS (Diluted) came in at $1.07 for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 37.4% from $1.72 a year earlier and down 39.0% from the prior quarter.
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Analysis
Marzetti (MZTI) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Marzetti reported EPS (Diluted) of $6.37, up 3.1% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $6.99, up 14.8% from FY2025.
- EPS (Diluted) has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $6.09 in FY2025 (+5.4%), $5.78 in FY2024 (+42.6%), $4.05 in FY2023 (+24.2%) and $3.26 in FY2022 (-37.0%).
- The fiscal Q1 2027 figure represents the lowest quarterly EPS (Diluted) since fiscal Q3 2024.
- Year-over-year, EPS (Diluted) increased in four of the last eight quarters, with growth averaging 7.7%.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q4 2024 (growth of 280.3%), and the weakest in fiscal Q4 2023 (a decline of 68.5%).
- Business Quant data shows MZTI's EPS (Diluted) at $1.76 (Q4 2026), $1.35 (Q3 2026) and $2.15 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | - |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 1.02 |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 2.27 |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 0.46 |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 0.36 |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 0.20 |
| 10 | Marzetti | 2.95 Bn | 2.49 Bn | 110.77 Mn | 1.07 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.07 |
| Jun 30, 2026 | 1.76 |
| Mar 31, 2026 | 1.35 |
| Dec 31, 2025 | 2.15 |
| Sep 30, 2025 | 1.72 |
| Jun 30, 2025 | 1.18 |
| Mar 31, 2025 | 1.50 |
| Dec 31, 2024 | 1.78 |
| Sep 30, 2024 | 1.63 |
| Jun 30, 2024 | 1.27 |
| Mar 31, 2024 | 1.03 |
| Dec 31, 2023 | 1.88 |
| Sep 30, 2023 | 1.60 |
| Jun 30, 2023 | 0.33 |
| Mar 31, 2023 | 0.89 |
| Dec 31, 2022 | 1.45 |
| Sep 30, 2022 | 1.37 |
| Jun 30, 2022 | 1.06 |
| Mar 31, 2022 | -0.16 |
| Dec 31, 2021 | 1.25 |
API Access
Marzetti EPS (Diluted) 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=eps-diluted&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();