Limoneira (LMNR) Cost of Revenue (2010 - 2026)
Limoneira (LMNR) reported Cost of Revenue of $37.25 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 11.4% from $42.05 million a year earlier but up 60.9% from the prior quarter.
Limoneira (LMNR) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Limoneira's Cost of Revenue came in at $130.99 million, down 10.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $154.81 million, down 6.1% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $164.81 million in FY2024 (-2.6%), $169.17 million in FY2023 (+5.3%), $160.65 million in FY2022 (+8.2%) and $148.49 million in FY2021 (-5.6%).
- Five-year quarterly Cost of Revenue spans a low of $23.02 million in fiscal Q1 2026 and a high of $47.56 million in fiscal Q4 2025.
- Year over year, Cost of Revenue has now declined in each of the last three quarters, with an average decline of 12.6% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q4 2025 (growth of 19.4%); the low point was fiscal Q1 2026 (a decline of 31.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $23.16 million (Q2 2026), $23.02 million (Q1 2026) and $47.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 20.75 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 22.36 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 12.95 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 21.31 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 1.22 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.22 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 4.29 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 1.42 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.70 Bn |
| 10 | Limoneira | 217.40 Mn | 235.80 Mn | 6.56 Mn | 37.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 37.25 Mn |
| Apr 30, 2026 | 23.16 Mn |
| Jan 31, 2026 | 23.02 Mn |
| Oct 31, 2025 | 47.56 Mn |
| Jul 31, 2025 | 42.05 Mn |
| Apr 30, 2025 | 31.70 Mn |
| Jan 31, 2025 | 33.50 Mn |
| Oct 31, 2024 | 39.82 Mn |
| Jul 31, 2024 | 45.44 Mn |
| Apr 30, 2024 | 40.44 Mn |
| Jan 31, 2024 | 39.11 Mn |
| Oct 31, 2023 | 42.89 Mn |
| Jul 31, 2023 | 46.85 Mn |
| Apr 30, 2023 | 38.19 Mn |
| Jan 31, 2023 | 41.24 Mn |
| Oct 31, 2022 | 40.35 Mn |
| Jul 31, 2022 | 41.46 Mn |
| Apr 30, 2022 | 37.60 Mn |
| Jan 31, 2022 | 41.24 Mn |
| Oct 31, 2021 | 34.42 Mn |
Limoneira Cost of 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=cost-of-revenue&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();