Limoneira (LMNR) Operating Margin (2010 - 2026)
Limoneira (LMNR) posted Operating Margin of -6.76% for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.43 percentage points from -1.33% a year earlier but up 83.91 percentage points from the prior quarter.
Limoneira (LMNR) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Margin at Limoneira was -35.95%, down 28.44 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at -12.78%, down 9.55 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of -1.22 percentage points (FY2020 to FY2025).
- In prior fiscal years, Limoneira's Operating Margin was -3.23% in FY2024 (-9.22 pp), 5.99% in FY2023 (+4.80 pp), 1.19% in FY2022 (+5.01 pp) and -3.81% in FY2021 (+7.74 pp).
- Quarterly Operating Margin has run from a low of -90.67% in fiscal Q2 2026 to a high of 68.29% in fiscal Q1 2023 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last five quarters, with an average year-over-year change of -17.76 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q1 2023, with a gain of 92.63 percentage points; the weakest was fiscal Q1 2024, with a drop of 87.79 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was -90.67% (Q2 2026), -57.96% (Q1 2026) and -25.88% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 3.42% |
| 10 | Limoneira | 219.76 Mn | 238.16 Mn | 6.56 Mn | -6.76% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -6.76% |
| Apr 30, 2026 | -90.67% |
| Jan 31, 2026 | -57.96% |
| Oct 31, 2025 | -25.88% |
| Jul 31, 2025 | -1.33% |
| Apr 30, 2025 | -9.52% |
| Jan 31, 2025 | -15.58% |
| Oct 31, 2024 | -6.27% |
| Jul 31, 2024 | 14.21% |
| Apr 30, 2024 | -10.48% |
| Jan 31, 2024 | -19.49% |
| Oct 31, 2023 | -23.39% |
| Jul 31, 2023 | -2.95% |
| Apr 30, 2023 | -8.03% |
| Jan 31, 2023 | 68.29% |
| Oct 31, 2022 | -4.76% |
| Jul 31, 2022 | 18.77% |
| Apr 30, 2022 | 5.53% |
| Jan 31, 2022 | -24.34% |
| Oct 31, 2021 | -19.26% |
Limoneira 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=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "LMNR", "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=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();