Limoneira (LMNR) Shares Outstanding (2010 - 2026)
Limoneira (LMNR) reported Shares Outstanding of 17.96 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.6% from 17.85 million a year earlier and up 0.2% from the prior quarter.
Limoneira (LMNR) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Limoneira posted Shares Outstanding of 17.83 million, up 0.7% from FY2024.
- Shares Outstanding has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding came in at 17.72 million in FY2024 (+0.6%), 17.6 million in FY2023 (+0.5%), 17.51 million in FY2022 (-0.2%) and 17.56 million in FY2021 (-0.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to fiscal Q3 2010.
- Year over year, Shares Outstanding has now increased in each of the last 15 quarters, with growth averaging 0.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q1 2025 (growth of 0.9%); the low point was fiscal Q4 2021 (a decline of 0.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 17.93 million (Q2 2026), 17.91 million (Q1 2026) and 17.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 485.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 193.63 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 352.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.07 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 158.52 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 393.55 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 237.93 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 63.30 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 957,794.00 |
| 10 | Limoneira | 215.77 Mn | 234.17 Mn | 6.56 Mn | 17.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.96 Mn |
| Apr 30, 2026 | 17.93 Mn |
| Jan 31, 2026 | 17.91 Mn |
| Oct 31, 2025 | 17.83 Mn |
| Jul 31, 2025 | 17.85 Mn |
| Apr 30, 2025 | 17.83 Mn |
| Jan 31, 2025 | 17.79 Mn |
| Oct 31, 2024 | 17.72 Mn |
| Jul 31, 2024 | 17.76 Mn |
| Apr 30, 2024 | 17.71 Mn |
| Jan 31, 2024 | 17.63 Mn |
| Oct 31, 2023 | 17.60 Mn |
| Jul 31, 2023 | 17.62 Mn |
| Apr 30, 2023 | 17.60 Mn |
| Jan 31, 2023 | 17.57 Mn |
| Oct 31, 2022 | 17.51 Mn |
| Jul 31, 2022 | 17.53 Mn |
| Apr 30, 2022 | 17.51 Mn |
| Jan 31, 2022 | 17.45 Mn |
| Oct 31, 2021 | 17.56 Mn |
Limoneira Shares Outstanding 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=shares-outstanding&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();