Marzetti (MZTI) Receivables (2010 - 2026)
Marzetti (MZTI) posted Receivables of $105.49 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.1% from $95.82 million a year earlier and up 7.3% from the prior quarter.
Marzetti (MZTI) Receivables (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Marzetti has reported Receivables for 65 quarters.
- Annual Receivables shows a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- In prior fiscal years, Marzetti's Receivables was $95.82 million in FY2025 (+0.3%), $95.56 million in FY2024 (-16.9%), $114.97 million in FY2023 (-15.2%) and $135.5 million in FY2022 (+38.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Receivables since fiscal Q3 2025.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with an average decline of 0.6%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2022, with growth of 38.4%; the weakest was fiscal Q3 2024, with a decline of 21.4%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $98.31 million (Q3 2026), $103.79 million (Q2 2026) and $101.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 11.86 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 1.78 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 615.70 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 709.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Marzetti | 2.71 Bn | 2.08 Bn | 113.99 Mn | 105.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.49 Mn |
| Mar 31, 2026 | 98.31 Mn |
| Dec 31, 2025 | 103.79 Mn |
| Sep 30, 2025 | 101.80 Mn |
| Jun 30, 2025 | 95.82 Mn |
| Mar 31, 2025 | 106.86 Mn |
| Dec 31, 2024 | 99.15 Mn |
| Sep 30, 2024 | 101.51 Mn |
| Jun 30, 2024 | 95.56 Mn |
| Mar 31, 2024 | 102.64 Mn |
| Dec 31, 2023 | 100.19 Mn |
| Sep 30, 2023 | 120.08 Mn |
| Jun 30, 2023 | 114.97 Mn |
| Mar 31, 2023 | 130.51 Mn |
| Dec 31, 2022 | 126.92 Mn |
| Sep 30, 2022 | 136.24 Mn |
| Jun 30, 2022 | 135.50 Mn |
| Mar 31, 2022 | 110.13 Mn |
| Dec 31, 2021 | 104.77 Mn |
| Sep 30, 2021 | 108.37 Mn |
Marzetti Receivables 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=receivables&ticker=MZTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();