Lakeland Industries (LAKE) Shares Outstanding (Diluted) (2010 - 2026)
Lakeland Industries (LAKE) posted Shares Outstanding (Diluted) of 9.94 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.5% from 10.09 million a year earlier and down 3.4% from the prior quarter.
Lakeland Industries (LAKE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Lakeland Industries' Shares Outstanding (Diluted) came in at 9.63 million, up 29.6% from FY2025.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- In prior fiscal years, Lakeland Industries' Shares Outstanding (Diluted) was 7.43 million in FY2025, 7.58 million in FY2024 (+1.1%), 7.5 million in FY2023 and 8.05 million in FY2022 (-1.1%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 7.39 million in fiscal Q1 2025 to a high of 10.29 million in fiscal Q1 2027 over five years.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q4 2026, with growth of 29.6%; the weakest was fiscal Q2 2023, with a decline of 5.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 10.29 million (Q1 2027), 9.63 million (Q4 2026) and 9.75 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Lakeland Industries | 91.57 Mn | 26.54 Mn | 18.54 Mn | 9.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.94 Mn |
| Apr 30, 2026 | 10.29 Mn |
| Jan 31, 2026 | 9.63 Mn |
| Oct 31, 2025 | 9.75 Mn |
| Jul 31, 2025 | 10.09 Mn |
| Apr 30, 2025 | 9.50 Mn |
| Jan 31, 2025 | 7.43 Mn |
| Oct 31, 2024 | 7.66 Mn |
| Jul 31, 2024 | 7.39 Mn |
| Apr 30, 2024 | 7.58 Mn |
| Jan 31, 2024 | 7.54 Mn |
| Oct 31, 2023 | 7.61 Mn |
| Jul 31, 2023 | 7.59 Mn |
| Apr 30, 2023 | 7.50 Mn |
| Jan 31, 2023 | 7.74 Mn |
| Oct 31, 2022 | 7.70 Mn |
| Jul 31, 2022 | 7.67 Mn |
| Apr 30, 2022 | 7.80 Mn |
| Jan 31, 2022 | 8.05 Mn |
| Oct 31, 2021 | 8.00 Mn |
Lakeland Industries Shares Outstanding (Diluted) 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-diluted&ticker=LAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LAKE", "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-diluted&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();