Limoneira (LMNR) Long-Term Investments (2010 - 2026)
Limoneira's Long-Term Investments came in at $74.85 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.7% from $74.33 million a year earlier and up 1.6% from the prior quarter.
Limoneira (LMNR) Long-Term Investments (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Limoneira's Long-Term Investments was $72.17 million, down 11.5% from FY2024.
- Long-Term Investments carries a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by fiscal year, Long-Term Investments was $81.55 million in FY2024 (+3.5%), $78.82 million in FY2023 (+8.2%), $72.86 million in FY2022 (+13.7%) and $64.07 million in FY2021 (+4.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Long-Term Investments since fiscal Q1 2025.
- Year-over-year, Long-Term Investments increased in three of the last eight quarters, with an average decline of 5.7%.
- The fastest year-over-year change in Long-Term Investments over five years came in fiscal Q2 2024 (growth of 30.3%), and the weakest in fiscal Q2 2025 (a decline of 22.6%).
- Business Quant data shows LMNR's Long-Term Investments at $73.64 million (Q2 2026), $72.66 million (Q1 2026) and $72.17 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 5.90 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 1.31 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 225.66 Mn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 2.59 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 213.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | - |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 255.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 792.00 Mn |
| 10 | Limoneira | 217.40 Mn | 235.80 Mn | 6.56 Mn | 74.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 74.85 Mn |
| Apr 30, 2026 | 73.64 Mn |
| Jan 31, 2026 | 72.66 Mn |
| Oct 31, 2025 | 72.17 Mn |
| Jul 31, 2025 | 74.33 Mn |
| Apr 30, 2025 | 74.07 Mn |
| Jan 31, 2025 | 81.87 Mn |
| Oct 31, 2024 | 81.55 Mn |
| Jul 31, 2024 | 80.38 Mn |
| Apr 30, 2024 | 95.67 Mn |
| Jan 31, 2024 | 79.06 Mn |
| Oct 31, 2023 | 78.82 Mn |
| Jul 31, 2023 | 73.43 Mn |
| Apr 30, 2023 | 73.45 Mn |
| Jan 31, 2023 | 73.38 Mn |
| Oct 31, 2022 | 72.86 Mn |
| Jul 31, 2022 | 64.62 Mn |
| Apr 30, 2022 | 64.29 Mn |
| Jan 31, 2022 | 64.12 Mn |
| Oct 31, 2021 | 64.07 Mn |
Limoneira Long-Term Investments 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=long-term-investments&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();