Marzetti (MZTI) Shares Outstanding (Diluted) (2009 - 2026)
Marzetti (MZTI) reported Weighted Average Shares Outstanding (Diluted) of 27.28 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 0.8% from 27.49 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Marzetti (MZTI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti posted Weighted Average Shares Outstanding (Diluted) of 27.41 million, down 0.3% from FY2025.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 27.49 million in FY2025 (+0.1%), 27.46 million in FY2024 (-0.1%), 27.48 million in FY2023 (unchanged) and 27.47 million in FY2022 (-0.2%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q2 2013.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last four quarters, with an average decline of 0.2% over the last eight quarters.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 27.41 million (Q4 2026), 27.38 million (Q3 2026) and 27.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.28 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 256.31 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.19 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Marzetti | 2.98 Bn | 2.51 Bn | 110.77 Mn | 27.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.28 Mn |
| Jun 30, 2026 | 27.41 Mn |
| Mar 31, 2026 | 27.38 Mn |
| Dec 31, 2025 | 27.42 Mn |
| Sep 30, 2025 | 27.49 Mn |
| Jun 30, 2025 | 27.49 Mn |
| Mar 31, 2025 | 27.50 Mn |
| Dec 31, 2024 | 27.50 Mn |
| Sep 30, 2024 | 27.48 Mn |
| Jun 30, 2024 | 27.46 Mn |
| Mar 31, 2024 | 27.45 Mn |
| Dec 31, 2023 | 27.44 Mn |
| Sep 30, 2023 | 27.47 Mn |
| Jun 30, 2023 | 27.48 Mn |
| Mar 31, 2023 | 27.49 Mn |
| Dec 31, 2022 | 27.49 Mn |
| Sep 30, 2022 | 27.46 Mn |
| Jun 30, 2022 | 27.47 Mn |
| Mar 31, 2022 | 27.44 Mn |
| Dec 31, 2021 | 27.46 Mn |
API Access
Marzetti Shares Outstanding (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=shares-outstanding-diluted&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();