Limoneira (LMNR) Other Operating Expenses (2010 - 2026)
Limoneira's Other Operating Expenses was $1.11 million in fiscal Q2 2026 (quarter ended Apr 30, 2026), down 95.4% from the prior quarter.
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Analysis
Limoneira (LMNR) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2023 (ended Oct 31, 2023), Other Operating Expenses at Limoneira came in at $2.27 million.
- Other Operating Expenses shows a five-year compound annual growth rate of -53.5% (FY2018 to FY2023).
- In earlier fiscal years, Other Operating Expenses was $162.29 million in FY2020 (+4.2%) and $155.74 million in FY2019 (+50.0%).
- The fiscal Q2 2026 figure marks the lowest quarterly Other Operating Expenses in data going back to fiscal Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Limoneira | 215.77 Mn | 234.17 Mn | 6.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 1.11 Mn |
| Jan 31, 2026 | 24.16 Mn |
| Jan 31, 2025 | 33.18 Mn |
| Jan 31, 2024 | 40.13 Mn |
| Apr 30, 2023 | 2.27 Mn |
| Jan 31, 2023 | 2.74 Mn |
| Jan 31, 2022 | 42.23 Mn |
| Oct 31, 2021 | 35.67 Mn |
| Jul 31, 2021 | 41.71 Mn |
| Apr 30, 2021 | 37.53 Mn |
| Jan 31, 2021 | 38.02 Mn |
| Oct 31, 2020 | 33.57 Mn |
| Jul 31, 2020 | 47.84 Mn |
| Apr 30, 2020 | 37.07 Mn |
| Jan 31, 2020 | 43.81 Mn |
| Oct 31, 2019 | 33.73 Mn |
| Jul 31, 2019 | 43.79 Mn |
| Apr 30, 2019 | 38.20 Mn |
| Jan 31, 2019 | 40.02 Mn |
| Oct 31, 2018 | 19.77 Mn |
API Access
Limoneira Other Operating 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-operating-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();