Limoneira (LMNR) Sales of Property, Plant and Equipment (2011 - 2026)
Limoneira's Sales of Property, Plant and Equipment came in at $6.29 million for fiscal Q2 2026 (quarter ended Apr 30, 2026), compared with $10,000 a year earlier.
Limoneira (LMNR) Sales of Property, Plant and Equipment (2011 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Limoneira's Sales of Property, Plant and Equipment was $411,000, down 60.6% from FY2024.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of -42.0% (FY2020 to FY2025).
- Going back by fiscal year, Sales of Property, Plant and Equipment was $1.04 million in FY2024 (-98.9%), $98.55 million in FY2023 (+411.7%), $19.26 million in FY2022 and $119,000 in FY2021 (-98.1%).
- The fiscal Q2 2026 figure represents the highest quarterly Sales of Property, Plant and Equipment since fiscal Q1 2023.
- Year-over-year, Sales of Property, Plant and Equipment increased in 1 of the last five quarters, with growth averaging 7.3%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in fiscal Q4 2024 (growth of 389.5%), and the weakest in fiscal Q4 2023 (a decline of 99.9%).
- Business Quant data shows LMNR's Sales of Property, Plant and Equipment at $20,000 (Q1 2026), $7,000 (Q4 2025) and $232,000 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | - |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 19.41 Mn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 2.61 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 8.70 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 9.00 Mn |
| 10 | Limoneira | 217.40 Mn | 235.80 Mn | 6.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 6.29 Mn |
| Jan 31, 2026 | 20,000.00 |
| Oct 31, 2025 | 7,000.00 |
| Jul 31, 2025 | 232,000.00 |
| Apr 30, 2025 | 10,000.00 |
| Jan 31, 2025 | 162,000.00 |
| Oct 31, 2024 | 93,000.00 |
| Jul 31, 2024 | 15,000.00 |
| Apr 30, 2024 | 152,000.00 |
| Jan 31, 2024 | 783,000.00 |
| Oct 31, 2023 | 19,000.00 |
| Jul 31, 2023 | 20,000.00 |
| Apr 30, 2023 | -382,000.00 |
| Jan 31, 2023 | 98.89 Mn |
| Oct 31, 2022 | 19.15 Mn |
| Jul 31, 2022 | -1.01 Mn |
| Apr 30, 2022 | 31,000.00 |
| Jan 31, 2022 | 1.09 Mn |
| Oct 31, 2021 | 32,000.00 |
| Jul 31, 2021 | 4,000.00 |
Limoneira Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();