Marzetti (MZTI) Change in Inventory (2009 - 2026)
Marzetti's Change in Inventory was $10.73 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 126.7% from $4.73 million a year earlier but down 48.2% from the prior quarter.
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Analysis
Marzetti (MZTI) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marzetti's Change in Inventory was $32.68 million through Sep 30, 2026; for FY2026 (ended Jun 30, 2026), it was $26.68 million.
- Change in Inventory shows a five-year compound annual growth rate of -6.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Inventory was -$8.02 million in FY2025, $14.99 million in FY2024 (+10.5%), $13.56 million in FY2023 (-40.6%) and $22.83 million in FY2022 (-38.0%).
- Quarterly Change in Inventory has moved between -$26.53 million (fiscal Q2 2023) and $21.24 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Change in Inventory was higher in two of the last four quarters, with growth averaging 150.3%.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q3 2025 (growth of 587.5%); the worst was fiscal Q3 2024 (a decline of 81.1%).
- Per Business Quant data, MZTI's Change in Inventory in the three fiscal quarters before Q1 2027 was $20.72 million (Q4 2026), $12.68 million (Q3 2026) and -$11.45 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 73.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -135.42 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 138.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 38.30 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Marzetti | 2.98 Bn | 2.51 Bn | 110.77 Mn | 10.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.73 Mn |
| Jun 30, 2026 | 20.72 Mn |
| Mar 31, 2026 | 12.68 Mn |
| Dec 31, 2025 | -11.45 Mn |
| Sep 30, 2025 | 4.73 Mn |
| Jun 30, 2025 | -21.84 Mn |
| Mar 31, 2025 | 19.91 Mn |
| Dec 31, 2024 | -26.49 Mn |
| Sep 30, 2024 | 20.41 Mn |
| Jun 30, 2024 | 12.16 Mn |
| Mar 31, 2024 | 2.90 Mn |
| Dec 31, 2023 | -19.62 Mn |
| Sep 30, 2023 | 19.54 Mn |
| Jun 30, 2023 | 3.51 Mn |
| Mar 31, 2023 | 15.34 Mn |
| Dec 31, 2022 | -26.53 Mn |
| Sep 30, 2022 | 21.24 Mn |
| Jun 30, 2022 | -21.32 Mn |
| Mar 31, 2022 | 10.86 Mn |
| Dec 31, 2021 | -3.20 Mn |
API Access
Marzetti Change in 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=change-in-inventory&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();