Limoneira (LMNR) Other Accumulated Expenses (2009 - 2026)
Limoneira (LMNR) recorded Other Accumulated Expenses of $5.07 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.3% from $4.87 million a year earlier but down 5.0% from the prior quarter.
Limoneira (LMNR) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Limoneira reported Other Accumulated Expenses of $5.99 million, up 8.1% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- Across earlier fiscal years, Other Accumulated Expenses came in at $5.54 million in FY2024 (+15.3%), $4.81 million in FY2023 (-1.1%), $4.86 million in FY2022 (-53.1%) and $10.37 million in FY2021 (+27.6%).
- Quarterly Other Accumulated Expenses has ranged from $4.24 million in fiscal Q1 2023 to $12.02 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 43.1% in fiscal Q1 2022, against a decline of 60.9% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.34 million (Q2 2026), $6.75 million (Q1 2026) and $5.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - |
| 10 | Limoneira | 188.57 Mn | 201.09 Mn | 6.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.07 Mn |
| Apr 30, 2026 | 5.34 Mn |
| Jan 31, 2026 | 6.75 Mn |
| Oct 31, 2025 | 5.99 Mn |
| Jul 31, 2025 | 4.87 Mn |
| Apr 30, 2025 | 5.07 Mn |
| Jan 31, 2025 | 5.81 Mn |
| Oct 31, 2024 | 5.54 Mn |
| Jul 31, 2024 | 6.08 Mn |
| Apr 30, 2024 | 5.14 Mn |
| Jan 31, 2024 | 5.14 Mn |
| Oct 31, 2023 | 4.81 Mn |
| Jul 31, 2023 | 4.70 Mn |
| Apr 30, 2023 | 8.11 Mn |
| Jan 31, 2023 | 4.24 Mn |
| Oct 31, 2022 | 4.86 Mn |
| Jul 31, 2022 | 12.02 Mn |
| Apr 30, 2022 | 9.50 Mn |
| Jan 31, 2022 | 9.21 Mn |
| Oct 31, 2021 | 10.37 Mn |
Limoneira Other 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=other-accumulated-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();