Limoneira (LMNR) Accumulated Expenses (2011 - 2026)
Limoneira (LMNR) posted Accumulated Expenses of $7.46 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.7% from $7.51 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Limoneira (LMNR) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Limoneira's Accumulated Expenses came in at $9.29 million, down 25.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior fiscal years, Limoneira's Accumulated Expenses was $12.48 million in FY2024 (+44.3%), $8.65 million in FY2023 (-23.3%), $11.28 million in FY2022 (+72.4%) and $6.54 million in FY2021 (-17.7%).
- Quarterly Accumulated Expenses has run from a low of $6.54 million in fiscal Q4 2021 to a high of $12.67 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2022, with growth of 72.4%; the weakest was fiscal Q3 2025, with a decline of 40.7%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $7.43 million (Q2 2026), $6.63 million (Q1 2026) and $9.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn |
| 10 | Limoneira | 216.13 Mn | 234.53 Mn | 6.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.46 Mn |
| Apr 30, 2026 | 7.43 Mn |
| Jan 31, 2026 | 6.63 Mn |
| Oct 31, 2025 | 9.29 Mn |
| Jul 31, 2025 | 7.51 Mn |
| Apr 30, 2025 | 7.95 Mn |
| Jan 31, 2025 | 9.20 Mn |
| Oct 31, 2024 | 12.48 Mn |
| Jul 31, 2024 | 12.67 Mn |
| Apr 30, 2024 | 11.26 Mn |
| Jan 31, 2024 | 8.08 Mn |
| Oct 31, 2023 | 8.65 Mn |
| Jul 31, 2023 | 8.39 Mn |
| Apr 30, 2023 | 7.94 Mn |
| Jan 31, 2023 | 11.33 Mn |
| Oct 31, 2022 | 11.28 Mn |
| Jul 31, 2022 | 7.69 Mn |
| Apr 30, 2022 | 6.80 Mn |
| Jan 31, 2022 | 7.37 Mn |
| Oct 31, 2021 | 6.54 Mn |
API Access
Limoneira Accumulated Expenses 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=accumulated-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();