Mission Produce (AVO) Accumulated Expenses (2020 - 2026)
Mission Produce's Accumulated Expenses came in at $69.5 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 80.1% from $38.6 million a year earlier and up 52.1% from the prior quarter.
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Analysis
Mission Produce (AVO) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Mission Produce's Accumulated Expenses was $38.9 million, down 2.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $39.9 million in FY2024 (+51.1%), $26.4 million in FY2023 (-12.3%), $30.1 million in FY2022 (+4.5%) and $28.8 million in FY2021 (+1.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2020.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 34.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2026 (growth of 80.1%), and the weakest in fiscal Q1 2023 (a decline of 28.3%).
- Business Quant data shows AVO's Accumulated Expenses at $45.7 million (Q2 2026), $53.3 million (Q1 2026) and $38.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Mission Produce | 1.15 Bn | 995.56 Mn | 44.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 69.50 Mn |
| Apr 30, 2026 | 45.70 Mn |
| Jan 31, 2026 | 53.30 Mn |
| Oct 31, 2025 | 38.90 Mn |
| Jul 31, 2025 | 38.60 Mn |
| Apr 30, 2025 | 37.50 Mn |
| Jan 31, 2025 | 46.30 Mn |
| Oct 31, 2024 | 39.90 Mn |
| Jul 31, 2024 | 28.90 Mn |
| Apr 30, 2024 | 32.60 Mn |
| Jan 31, 2024 | 29.10 Mn |
| Oct 31, 2023 | 26.40 Mn |
| Jul 31, 2023 | 26.10 Mn |
| Apr 30, 2023 | 30.00 Mn |
| Jan 31, 2023 | 29.40 Mn |
| Oct 31, 2022 | 30.10 Mn |
| Jul 31, 2022 | 29.00 Mn |
| Apr 30, 2022 | 28.90 Mn |
| Jan 31, 2022 | 41.00 Mn |
| Oct 31, 2021 | 28.80 Mn |
API Access
Mission Produce Accumulated Expenses 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=accumulated-expenses&ticker=AVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();