Mission Produce (AVO) Return on Sales [ROS] (2020 - 2026)
Mission Produce (AVO) reported Return on Sales [ROS] of 0.11% for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.76 percentage points from 5.87% a year earlier but up 2.52 percentage points from the prior quarter.
Mission Produce (AVO) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Mission Produce's Return on Sales [ROS] came in at 1.79%, down 2.82 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 4.69%, down 0.63 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3.25 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 5.32% in FY2024 (+4.60 pp), 0.72% in FY2023 (+4.28 pp), -3.56% in FY2022 (-10.39 pp) and 6.83% in FY2021 (-1.10 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -17.69% in fiscal Q4 2022 and a high of 8.78% in fiscal Q4 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -0.98 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 20.48 percentage points); the low point was fiscal Q4 2022 (a drop of 25.41 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -2.41% (Q2 2026), 0.90% (Q1 2026) and 8.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Mission Produce | 1.12 Bn | 969.26 Mn | 44.70 Mn | 0.11% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.11% |
| Apr 30, 2026 | -2.41% |
| Jan 31, 2026 | 0.90% |
| Oct 31, 2025 | 8.78% |
| Jul 31, 2025 | 5.87% |
| Apr 30, 2025 | 1.81% |
| Jan 31, 2025 | 2.78% |
| Oct 31, 2024 | 8.07% |
| Jul 31, 2024 | 5.19% |
| Apr 30, 2024 | 4.13% |
| Jan 31, 2024 | 3.09% |
| Oct 31, 2023 | 2.79% |
| Jul 31, 2023 | 4.21% |
| Apr 30, 2023 | -0.54% |
| Jan 31, 2023 | -4.73% |
| Oct 31, 2022 | -17.69% |
| Jul 31, 2022 | 7.02% |
| Apr 30, 2022 | 0.40% |
| Jan 31, 2022 | -8.40% |
| Oct 31, 2021 | 7.72% |
Mission Produce Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();