Limoneira (LMNR) Revenue (2010 - 2026)
Limoneira (LMNR) recorded Revenue of $43.81 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 7.7% from $47.48 million a year earlier but up 83.1% from the prior quarter.
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Analysis
Limoneira (LMNR) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Limoneira's Revenue came in at $128.76 million as of Jul 31, 2026, down 19.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $159.72 million, down 16.6% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $191.5 million in FY2024 (+6.4%), $179.9 million in FY2023 (-2.5%), $184.61 million in FY2022 (+11.2%) and $166.03 million in FY2021 (+0.9%).
- Quarterly Revenue has ranged from $18.21 million in fiscal Q1 2026 to $63.31 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Revenue has declined for seven consecutive quarters, with an average decline of 17.9% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 20.6% in fiscal Q3 2024, against a decline of 46.9% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23.93 million (Q2 2026), $18.21 million (Q1 2026) and $42.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 22.68 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 24.04 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 13.87 Bn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 23.90 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 1.72 Bn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 3.70 Bn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 4.63 Bn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 1.85 Bn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 2.92 Bn |
| 10 | Limoneira | 215.77 Mn | 234.17 Mn | 6.56 Mn | 43.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 43.81 Mn |
| Apr 30, 2026 | 23.93 Mn |
| Jan 31, 2026 | 18.21 Mn |
| Oct 31, 2025 | 42.82 Mn |
| Jul 31, 2025 | 47.48 Mn |
| Apr 30, 2025 | 35.12 Mn |
| Jan 31, 2025 | 34.31 Mn |
| Oct 31, 2024 | 43.86 Mn |
| Jul 31, 2024 | 63.31 Mn |
| Apr 30, 2024 | 44.61 Mn |
| Jan 31, 2024 | 39.73 Mn |
| Oct 31, 2023 | 41.43 Mn |
| Jul 31, 2023 | 52.50 Mn |
| Apr 30, 2023 | 48.07 Mn |
| Jan 31, 2023 | 37.90 Mn |
| Oct 31, 2022 | 39.66 Mn |
| Jul 31, 2022 | 58.92 Mn |
| Apr 30, 2022 | 46.75 Mn |
| Jan 31, 2022 | 39.27 Mn |
| Oct 31, 2021 | 33.50 Mn |
API Access
Limoneira Revenue 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=revenue&ticker=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();