Alico (ALCO) Operating Margin (2010 - 2026)
Alico's Operating Margin came in at 20.86% for 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) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alico reported Operating Margin of -263.40%, up 216.25 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was -462.72%, down 318.10 percentage points from FY2024.
- Operating Margin carries a five-year change of -470.20 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Operating Margin 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 represents the highest quarterly Operating Margin since fiscal Q3 2023.
- Year-over-year, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -484.37 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2023 (a gain of 2140.28 percentage points), and the weakest in fiscal Q4 2022 (a drop of 2290.55 percentage points).
- Business Quant data shows ALCO's Operating Margin at -146.46% (Q2 2026), -453.37% (Q1 2026) and -3799.13% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 3.42% |
| 10 | Alico | 290.35 Mn | 109.00 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 Operating Margin 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=operating-margin&ticker=ALCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ALCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();