Limoneira (LMNR) Price to Earnings (2011 - 2025)
Limoneira's (LMNR) Price to Earnings stood at 53.86 in fiscal Q1 2025 (quarter ended Jan 31, 2025), down 16.0% from the prior quarter.
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Analysis
Limoneira (LMNR) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2024 (ended Oct 31, 2024), Limoneira's Price to Earnings came in at 64.08, up 122.4% from FY2023.
- Across earlier fiscal years, Price to Earnings came in at 28.81 in FY2023.
- The fiscal Q1 2025 figure is the lowest quarterly Price to Earnings since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 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 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn |
| 10 | Limoneira | 217.40 Mn | 235.80 Mn | 6.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2025 | 53.86 |
| Oct 31, 2024 | 64.08 |
| Jul 31, 2024 | 70.81 |
| Oct 31, 2023 | 28.81 |
| Jul 31, 2023 | 28.77 |
| Apr 30, 2023 | 16.47 |
| Jan 31, 2023 | 10.93 |
| Apr 30, 2019 | 157.03 |
| Jan 31, 2019 | 61.47 |
| Oct 31, 2018 | 22.10 |
| Jul 31, 2018 | 23.76 |
| Apr 30, 2018 | 17.04 |
| Jan 31, 2018 | 18.68 |
| Oct 31, 2017 | 55.73 |
| Jul 31, 2017 | 37.81 |
| Apr 30, 2017 | 25.63 |
| Jan 31, 2017 | 26.10 |
| Oct 31, 2016 | 37.57 |
| Jul 31, 2016 | 31.10 |
| Apr 30, 2016 | 95.90 |
API Access
Limoneira Price to Earnings 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=price-to-earnings&ticker=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();