Mission Produce (AVO) Total Liabilities (2020 - 2026)
Mission Produce (AVO) posted Total Liabilities of $807 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 100.8% from $401.9 million a year earlier and up 103.5% from the prior quarter.
Mission Produce (AVO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Mission Produce's Total Liabilities came in at $363.1 million, down 7.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior fiscal years, Mission Produce's Total Liabilities was $394.4 million in FY2024 (+2.0%), $386.5 million in FY2023 (+8.4%), $356.6 million in FY2022 (+5.1%) and $339.3 million in FY2021 (+11.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2020.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with growth averaging 10.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 100.8%; the weakest was fiscal Q1 2026, with a decline of 9.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $396.6 million (Q2 2026), $377.6 million (Q1 2026) and $363.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Mission Produce | 1.15 Bn | 994.69 Mn | 44.70 Mn | 807.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 807.00 Mn |
| Apr 30, 2026 | 396.60 Mn |
| Jan 31, 2026 | 377.60 Mn |
| Oct 31, 2025 | 363.10 Mn |
| Jul 31, 2025 | 401.90 Mn |
| Apr 30, 2025 | 426.20 Mn |
| Jan 31, 2025 | 414.90 Mn |
| Oct 31, 2024 | 394.40 Mn |
| Jul 31, 2024 | 406.20 Mn |
| Apr 30, 2024 | 426.90 Mn |
| Jan 31, 2024 | 405.70 Mn |
| Oct 31, 2023 | 386.50 Mn |
| Jul 31, 2023 | 424.00 Mn |
| Apr 30, 2023 | 419.20 Mn |
| Jan 31, 2023 | 382.90 Mn |
| Oct 31, 2022 | 356.60 Mn |
| Jul 31, 2022 | 391.10 Mn |
| Apr 30, 2022 | 376.00 Mn |
| Jan 31, 2022 | 359.70 Mn |
| Oct 31, 2021 | 339.30 Mn |
Mission Produce Total Liabilities 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=total-liabilities&ticker=AVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();