Marzetti (MZTI) Accumulated Expenses (2010 - 2026)
Marzetti's Accumulated Expenses was $64.75 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.2% from $68.33 million a year earlier but up 0.7% from the prior quarter.
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Analysis
Marzetti (MZTI) Accumulated Expenses (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Marzetti has reported Accumulated Expenses for 65 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $68.33 million in FY2025 (+4.9%), $65.16 million in FY2024 (+14.3%), $56.99 million in FY2023 (+12.6%) and $50.61 million in FY2022 (-20.4%).
- Quarterly Accumulated Expenses has moved between $45.06 million (fiscal Q2 2022) and $69.26 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 3.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2025 (growth of 36.4%); the worst was fiscal Q4 2022 (a decline of 20.4%).
- Per Business Quant data, MZTI's Accumulated Expenses in the three fiscal quarters before Q4 2026 was $64.28 million (Q3 2026), $57.28 million (Q2 2026) and $66 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Marzetti | 2.72 Bn | 2.09 Bn | 113.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.75 Mn |
| Mar 31, 2026 | 64.28 Mn |
| Dec 31, 2025 | 57.28 Mn |
| Sep 30, 2025 | 66.00 Mn |
| Jun 30, 2025 | 68.33 Mn |
| Mar 31, 2025 | 65.32 Mn |
| Dec 31, 2024 | 62.74 Mn |
| Sep 30, 2024 | 63.94 Mn |
| Jun 30, 2024 | 65.16 Mn |
| Mar 31, 2024 | 69.26 Mn |
| Dec 31, 2023 | 59.26 Mn |
| Sep 30, 2023 | 46.87 Mn |
| Jun 30, 2023 | 56.99 Mn |
| Mar 31, 2023 | 58.00 Mn |
| Dec 31, 2022 | 48.48 Mn |
| Sep 30, 2022 | 55.55 Mn |
| Jun 30, 2022 | 50.61 Mn |
| Mar 31, 2022 | 52.12 Mn |
| Dec 31, 2021 | 45.06 Mn |
| Sep 30, 2021 | 52.03 Mn |
API Access
Marzetti Accumulated Expenses 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=accumulated-expenses&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();