Alico (ALCO) Return on Sales [ROS] (2010 - 2026)
Alico's Return on Sales [ROS] was 20.86% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 323.25 percentage points from -302.38% a year earlier and up 167.32 percentage points from the prior quarter.
Alico (ALCO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alico's Return on Sales [ROS] was -263.40% through Jun 30, 2026, up 216.25 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -462.72%, down 318.10 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -470.20 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -144.62% in FY2024 (-134.08 pp), -10.53% in FY2023 (+16.49 pp), -27.02% in FY2022 (-40.32 pp) and 13.30% in FY2021 (+5.82 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q3 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -484.37 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 2140.28 percentage points); the worst was fiscal Q4 2022 (a drop of 2290.55 percentage points).
- Per Business Quant data, ALCO's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was -146.46% (Q2 2026), -453.37% (Q1 2026) and -3799.13% (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 | Alico | 284.12 Mn | 102.77 Mn | 4.05 Mn | 20.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.86% |
| Mar 31, 2026 | -146.46% |
| Dec 31, 2025 | -453.37% |
| Sep 30, 2025 | -3,799.13% |
| Jun 30, 2025 | -302.38% |
| Mar 31, 2025 | -851.42% |
| Dec 31, 2024 | -64.07% |
| Sep 30, 2024 | -2,429.95% |
| Jun 30, 2024 | -49.43% |
| Mar 31, 2024 | -113.06% |
| Dec 31, 2023 | -125.33% |
| Sep 30, 2023 | -215.29% |
| Jun 30, 2023 | 172.60% |
| Mar 31, 2023 | -42.24% |
| Dec 31, 2022 | -59.60% |
| Sep 30, 2022 | -2,355.58% |
| Jun 30, 2022 | -4.80% |
| Mar 31, 2022 | 2.94% |
| Dec 31, 2021 | -5.04% |
| Sep 30, 2021 | -65.03% |
Alico 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=ALCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ALCO", "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=ALCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();