Marzetti (MZTI) Total Liabilities (2010 - 2026)
Marzetti (MZTI) reported Total Liabilities of $551.87 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 99.8% from $276.23 million a year earlier and up 77.3% from the prior quarter.
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Analysis
Marzetti (MZTI) Total Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Marzetti's Total Liabilities record includes 65 quarters.
- Total Liabilities has a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $276.23 million in FY2025 (-1.8%), $281.16 million in FY2024 (+12.1%), $250.73 million in FY2023 (+2.1%) and $245.69 million in FY2022 (-4.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 20.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2026 (growth of 99.8%); the low point was fiscal Q3 2024 (a decline of 8.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $311.26 million (Q3 2026), $296.03 million (Q2 2026) and $319.69 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.90 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 551.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 551.87 Mn |
| Mar 31, 2026 | 311.26 Mn |
| Dec 31, 2025 | 296.03 Mn |
| Sep 30, 2025 | 319.69 Mn |
| Jun 30, 2025 | 276.23 Mn |
| Mar 31, 2025 | 280.36 Mn |
| Dec 31, 2024 | 259.99 Mn |
| Sep 30, 2024 | 271.16 Mn |
| Jun 30, 2024 | 281.16 Mn |
| Mar 31, 2024 | 259.16 Mn |
| Dec 31, 2023 | 240.60 Mn |
| Sep 30, 2023 | 251.53 Mn |
| Jun 30, 2023 | 250.73 Mn |
| Mar 31, 2023 | 284.57 Mn |
| Dec 31, 2022 | 257.62 Mn |
| Sep 30, 2022 | 269.16 Mn |
| Jun 30, 2022 | 245.69 Mn |
| Mar 31, 2022 | 265.00 Mn |
| Dec 31, 2021 | 255.19 Mn |
| Sep 30, 2021 | 265.08 Mn |
API Access
Marzetti Total Liabilities 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=total-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();