Marzetti (MZTI) Inventory (2010 - 2026)
Marzetti (MZTI) recorded Inventory of $215.79 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 24.0% from $174.03 million a year earlier and up 5.2% from the prior quarter.
Powered by 
Analysis
Marzetti (MZTI) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Marzetti reported Inventory of $205.06 million, up 21.1% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $169.3 million in FY2025 (-2.3%), $173.25 million in FY2024 (+9.5%), $158.27 million in FY2023 (+9.4%) and $144.7 million in FY2022 (+18.7%).
- The fiscal Q1 2027 figure is the highest quarterly Inventory in data going back to fiscal Q4 2010.
- On a year-over-year basis, Inventory rose in four of the last eight quarters, with growth averaging 5.7%.
- Peak year-over-year performance for Inventory in the last five years was growth of 61.1% in fiscal Q3 2022, against a decline of 10.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $205.06 million (Q4 2026), $175.26 million (Q3 2026) and $162.58 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | 5.17 Bn |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 4.44 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 1.61 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 3.42 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 2.16 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 1.19 Bn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Marzetti | 2.95 Bn | 2.49 Bn | 110.77 Mn | 215.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.79 Mn |
| Jun 30, 2026 | 205.06 Mn |
| Mar 31, 2026 | 175.26 Mn |
| Dec 31, 2025 | 162.58 Mn |
| Sep 30, 2025 | 174.03 Mn |
| Jun 30, 2025 | 169.30 Mn |
| Mar 31, 2025 | 191.15 Mn |
| Dec 31, 2024 | 167.17 Mn |
| Sep 30, 2024 | 193.66 Mn |
| Jun 30, 2024 | 173.25 Mn |
| Mar 31, 2024 | 161.09 Mn |
| Dec 31, 2023 | 158.19 Mn |
| Sep 30, 2023 | 177.81 Mn |
| Jun 30, 2023 | 158.27 Mn |
| Mar 31, 2023 | 154.75 Mn |
| Dec 31, 2022 | 139.41 Mn |
| Sep 30, 2022 | 165.94 Mn |
| Jun 30, 2022 | 144.70 Mn |
| Mar 31, 2022 | 166.02 Mn |
| Dec 31, 2021 | 155.17 Mn |
API Access
Marzetti Inventory 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=inventory&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();