Marzetti (MZTI) Non-Current Assets (2010 - 2026)
Marzetti's Non-Current Assets came in at $1.24 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 49.7% from $831.09 million a year earlier and up 47.7% from the prior quarter.
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Analysis
Marzetti (MZTI) Non-Current Assets (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Marzetti's Non-Current Assets data covers 65 quarters.
- Non-Current Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $831.09 million in FY2025 (+8.9%), $762.94 million in FY2024 (+3.3%), $738.53 million in FY2023 (unchanged) and $738.59 million in FY2022 (+9.0%).
- The fiscal Q4 2026 figure represents the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- Year-over-year, Non-Current Assets has increased for nine consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q4 2026 (growth of 49.7%), and the weakest in fiscal Q3 2024 (a decline of 4.6%).
- Business Quant data shows MZTI's Non-Current Assets at $842.12 million (Q3 2026), $837.45 million (Q2 2026) and $839.13 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 64.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 58.31 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 10.02 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 63.81 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 25.39 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 14.21 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 13.69 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 9.77 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 1.90 Bn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 1.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 842.12 Mn |
| Dec 31, 2025 | 837.45 Mn |
| Sep 30, 2025 | 839.13 Mn |
| Jun 30, 2025 | 831.09 Mn |
| Mar 31, 2025 | 836.96 Mn |
| Dec 31, 2024 | 758.89 Mn |
| Sep 30, 2024 | 763.62 Mn |
| Jun 30, 2024 | 762.94 Mn |
| Mar 31, 2024 | 731.28 Mn |
| Dec 31, 2023 | 743.53 Mn |
| Sep 30, 2023 | 744.04 Mn |
| Jun 30, 2023 | 738.53 Mn |
| Mar 31, 2023 | 766.20 Mn |
| Dec 31, 2022 | 763.54 Mn |
| Sep 30, 2022 | 753.43 Mn |
| Jun 30, 2022 | 738.59 Mn |
| Mar 31, 2022 | 742.05 Mn |
| Dec 31, 2021 | 730.79 Mn |
| Sep 30, 2021 | 705.28 Mn |
API Access
Marzetti Non-Current Assets 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=non-current-assets&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();