Mission Produce (AVO) Inventory (2020 - 2026)
Mission Produce (AVO) posted Inventory of $141.3 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 36.7% from $103.4 million a year earlier and up 21.2% from the prior quarter.
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Analysis
Mission Produce (AVO) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Mission Produce's Inventory came in at $80.6 million, down 11.6% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In prior fiscal years, Mission Produce's Inventory was $91.2 million in FY2024 (+28.8%), $70.8 million in FY2023 (-3.1%), $73.1 million in FY2022 (+51.7%) and $48.2 million in FY2021 (+24.9%).
- The fiscal Q3 2026 figure stands as the highest quarterly Inventory in data going back to fiscal Q4 2020.
- On a year-over-year basis, Inventory increased in six of the last eight quarters, with growth averaging 15.4%.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2022, with growth of 51.7%; the weakest was fiscal Q1 2026, with a decline of 19.1%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $116.6 million (Q2 2026), $99.3 million (Q1 2026) and $80.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 10.59 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 15.46 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 5.84 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 7.00 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 605.36 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 2.38 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 2.03 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 1.11 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 1.81 Bn |
| 10 | Mission Produce | 1.15 Bn | 994.69 Mn | 44.70 Mn | 141.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 141.30 Mn |
| Apr 30, 2026 | 116.60 Mn |
| Jan 31, 2026 | 99.30 Mn |
| Oct 31, 2025 | 80.60 Mn |
| Jul 31, 2025 | 103.40 Mn |
| Apr 30, 2025 | 112.80 Mn |
| Jan 31, 2025 | 122.70 Mn |
| Oct 31, 2024 | 91.20 Mn |
| Jul 31, 2024 | 83.80 Mn |
| Apr 30, 2024 | 94.90 Mn |
| Jan 31, 2024 | 85.90 Mn |
| Oct 31, 2023 | 70.80 Mn |
| Jul 31, 2023 | 87.80 Mn |
| Apr 30, 2023 | 96.00 Mn |
| Jan 31, 2023 | 76.80 Mn |
| Oct 31, 2022 | 73.10 Mn |
| Jul 31, 2022 | 92.70 Mn |
| Apr 30, 2022 | 90.60 Mn |
| Jan 31, 2022 | 79.30 Mn |
| Oct 31, 2021 | 48.20 Mn |
API Access
Mission Produce 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=AVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "AVO", "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=AVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();