Marzetti (MZTI) Cash & Equivalents (2009 - 2026)
Marzetti (MZTI) reported Cash & Equivalents of $25.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 84.5% from $161.48 million a year earlier and down 88.5% from the prior quarter.
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Analysis
Marzetti (MZTI) Cash & Equivalents (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2010, Marzetti's Cash & Equivalents record includes 68 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of -33.2% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $161.48 million in FY2025 (-1.2%), $163.44 million in FY2024 (+84.7%), $88.47 million in FY2023 (+46.8%) and $60.28 million in FY2022 (-67.9%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Cash & Equivalents in data going back to fiscal Q1 2010.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 16.8%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2024 (growth of 98.8%); the low point was fiscal Q4 2026 (a decline of 84.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $218.45 million (Q3 2026), $201.58 million (Q2 2026) and $182.15 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Marzetti | 2.72 Bn | 2.09 Bn | 113.99 Mn | 25.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.10 Mn |
| Mar 31, 2026 | 218.45 Mn |
| Dec 31, 2025 | 201.58 Mn |
| Sep 30, 2025 | 182.15 Mn |
| Jun 30, 2025 | 161.48 Mn |
| Mar 31, 2025 | 124.56 Mn |
| Dec 31, 2024 | 203.07 Mn |
| Sep 30, 2024 | 135.06 Mn |
| Jun 30, 2024 | 163.44 Mn |
| Mar 31, 2024 | 164.76 Mn |
| Dec 31, 2023 | 133.85 Mn |
| Sep 30, 2023 | 73.75 Mn |
| Jun 30, 2023 | 88.47 Mn |
| Mar 31, 2023 | 82.86 Mn |
| Dec 31, 2022 | 95.49 Mn |
| Sep 30, 2022 | 64.22 Mn |
| Jun 30, 2022 | 60.28 Mn |
| Mar 31, 2022 | 67.09 Mn |
| Dec 31, 2021 | 114.01 Mn |
| Sep 30, 2021 | 130.09 Mn |
API Access
Marzetti Cash & Equivalents 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=cash-and-equivalents&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();