Mission Produce (AVO) Change in Property, Plant and Equipment (2020 - 2026)
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Analysis
Mission Produce (AVO) Change in Property, Plant and Equipment (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.64 Bn | 34.93 Bn | 1.94 Bn | -272.00 Mn |
| 2 | Tyson Foods | 19.95 Bn | 16.31 Bn | 921.00 Mn | -159.00 Mn |
| 3 | Bunge Global | 19.82 Bn | 17.33 Bn | 1.68 Bn | -443.00 Mn |
| 4 | Jbs | 13.76 Bn | -19.50 Bn | 2.59 Bn | -593.05 Mn |
| 5 | Darling Ingredients | 8.87 Bn | 8.48 Bn | 503.37 Mn | -126.24 Mn |
| 6 | Smithfield Foods | 7.34 Bn | 2.29 Bn | 478.00 Mn | -77.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.53 Bn | 339.75 Mn | -475.91 Mn |
| 8 | Ingredion | 6.03 Bn | 2.21 Bn | 426.00 Mn | -100.00 Mn |
| 9 | Seaboard | 3.73 Bn | -1.09 Bn | 221.00 Mn | -93.00 Mn |
| 10 | Mission Produce | 1.02 Bn | 871.06 Mn | 44.70 Mn | -9.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -9.00 Mn |
| Apr 30, 2026 | -11.00 Mn |
| Jan 31, 2026 | -11.80 Mn |
| Oct 31, 2025 | -11.50 Mn |
| Jul 31, 2025 | -11.80 Mn |
| Apr 30, 2025 | -13.20 Mn |
| Jan 31, 2025 | -14.80 Mn |
| Oct 31, 2024 | -6.90 Mn |
| Jul 31, 2024 | -7.50 Mn |
| Apr 30, 2024 | -7.80 Mn |
| Jan 31, 2024 | -9.90 Mn |
| Oct 31, 2023 | -2.70 Mn |
| Jul 31, 2023 | -12.10 Mn |
| Apr 30, 2023 | -17.30 Mn |
| Jan 31, 2023 | -17.60 Mn |
| Oct 31, 2022 | -19.10 Mn |
| Jul 31, 2022 | -12.90 Mn |
| Apr 30, 2022 | -5.30 Mn |
| Jan 31, 2022 | -20.90 Mn |
| Oct 31, 2021 | -12.00 Mn |
API Access
Mission Produce Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=AVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=AVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();