Marzetti (MZTI) Total Current Liabilities (2010 - 2026)
Marzetti (MZTI) recorded Total Current Liabilities of $231.54 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 24.3% from $186.29 million a year earlier and up 16.4% from the prior quarter.
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Analysis
Marzetti (MZTI) Total Current Liabilities (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Marzetti's Total Current Liabilities history includes 65 quarters.
- Annual Total Current Liabilities has increased for four straight fiscal years, with a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $186.29 million in FY2025 (+1.3%), $183.97 million in FY2024 (+9.0%), $168.75 million in FY2023 (+1.9%) and $165.59 million in FY2022 (-4.8%).
- The fiscal Q4 2026 figure is the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 28.6% in fiscal Q1 2022, against a decline of 12.4% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $198.86 million (Q3 2026), $180.66 million (Q2 2026) and $201.47 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 3.57 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 231.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.54 Mn |
| Mar 31, 2026 | 198.86 Mn |
| Dec 31, 2025 | 180.66 Mn |
| Sep 30, 2025 | 201.47 Mn |
| Jun 30, 2025 | 186.29 Mn |
| Mar 31, 2025 | 186.38 Mn |
| Dec 31, 2024 | 167.25 Mn |
| Sep 30, 2024 | 173.18 Mn |
| Jun 30, 2024 | 183.97 Mn |
| Mar 31, 2024 | 189.79 Mn |
| Dec 31, 2023 | 163.38 Mn |
| Sep 30, 2023 | 167.21 Mn |
| Jun 30, 2023 | 168.75 Mn |
| Mar 31, 2023 | 196.45 Mn |
| Dec 31, 2022 | 180.17 Mn |
| Sep 30, 2022 | 190.92 Mn |
| Jun 30, 2022 | 165.59 Mn |
| Mar 31, 2022 | 179.48 Mn |
| Dec 31, 2021 | 172.83 Mn |
| Sep 30, 2021 | 179.79 Mn |
API Access
Marzetti Total Current 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-current-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();