Lakeland Industries (LAKE) Shares Outstanding (Entity) (2010 - 2026)
Lakeland Industries (LAKE) recorded Shares Outstanding (Entity) of 9.91 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.8% from 9.55 million a year earlier and up 0.5% from the prior quarter.
Lakeland Industries (LAKE) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Lakeland Industries reported Shares Outstanding (Entity) of 9.81 million, up 32.0% from FY2025.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 7.43 million in FY2025, 7.38 million in FY2024 (+0.3%), 7.36 million in FY2023 and 7.62 million in FY2022 (-4.6%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q2 2011.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for three consecutive quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 32.0% in fiscal Q4 2026, against a decline of 8.3% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.86 million (Q1 2027), 9.81 million (Q4 2026) and 9.8 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 557.80 Mn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 515.72 Mn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 284.80 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 384.94 Mn |
| 10 | Lakeland Industries | 94.99 Mn | 29.96 Mn | 18.54 Mn | 9.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.91 Mn |
| Apr 30, 2026 | 9.86 Mn |
| Jan 31, 2026 | 9.81 Mn |
| Oct 31, 2025 | 9.80 Mn |
| Jul 31, 2025 | 9.55 Mn |
| Apr 30, 2025 | 9.51 Mn |
| Jan 31, 2025 | 7.43 Mn |
| Oct 31, 2024 | 7.41 Mn |
| Jul 31, 2024 | 7.40 Mn |
| Apr 30, 2024 | 7.38 Mn |
| Jan 31, 2024 | 7.36 Mn |
| Oct 31, 2023 | 7.36 Mn |
| Jul 31, 2023 | 7.36 Mn |
| Apr 30, 2023 | 7.36 Mn |
| Jan 31, 2023 | 7.33 Mn |
| Oct 31, 2022 | 7.32 Mn |
| Jul 31, 2022 | 7.51 Mn |
| Apr 30, 2022 | 7.67 Mn |
| Jan 31, 2022 | 7.62 Mn |
| Oct 31, 2021 | 7.78 Mn |
Lakeland Industries Shares Outstanding (Entity) 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-entity&ticker=LAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();