Marzetti (MZTI) Tax Provisions (2009 - 2026)
Marzetti's Tax Provisions came in at $9.48 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 30.4% from $13.61 million a year earlier but up 15.1% from the prior quarter.
Marzetti (MZTI) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Marzetti reported Tax Provisions of $46.23 million, down 0.7% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $50.36 million, up 9.2% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $46.12 million in FY2025 (-1.7%), $46.9 million in FY2024 (+46.5%), $32.01 million in FY2023 (+40.4%) and $22.8 million in FY2022 (-47.5%).
- The five-year range for quarterly Tax Provisions is -$3.02 million (fiscal Q3 2022) to $17.26 million (fiscal Q2 2026).
- Year-over-year, Tax Provisions increased in five of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2024 (growth of 173.6%), and the weakest in fiscal Q4 2022 (a decline of 46.5%).
- Business Quant data shows MZTI's Tax Provisions at $8.23 million (Q4 2026), $11.26 million (Q3 2026) and $17.26 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 424.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 187.19 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 168.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 49.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Marzetti | 2.98 Bn | 2.51 Bn | 110.77 Mn | 9.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.48 Mn |
| Jun 30, 2026 | 8.23 Mn |
| Mar 31, 2026 | 11.26 Mn |
| Dec 31, 2025 | 17.26 Mn |
| Sep 30, 2025 | 13.61 Mn |
| Jun 30, 2025 | 7.98 Mn |
| Mar 31, 2025 | 10.71 Mn |
| Dec 31, 2024 | 14.24 Mn |
| Sep 30, 2024 | 13.18 Mn |
| Jun 30, 2024 | 8.98 Mn |
| Mar 31, 2024 | 8.54 Mn |
| Dec 31, 2023 | 15.70 Mn |
| Sep 30, 2023 | 13.68 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Mar 31, 2023 | 5.46 Mn |
| Dec 31, 2022 | 11.83 Mn |
| Sep 30, 2022 | 11.44 Mn |
| Jun 30, 2022 | 4.89 Mn |
| Mar 31, 2022 | -3.02 Mn |
| Dec 31, 2021 | 11.05 Mn |
Marzetti Tax Provisions 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=tax-provisions&ticker=MZTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();