Lakeland Industries (LAKE) Enterprise Value (2010 - 2026)
Lakeland Industries' Enterprise Value came in at $95.07 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 17.4% from $115.11 million a year earlier but up 14.7% from the prior quarter.
Lakeland Industries (LAKE) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Lakeland Industries reported Enterprise Value of $47.94 million, down 24.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $79.86 million, down 48.4% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -14.0% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $154.74 million in FY2025, $93.74 million in FY2024 (+49.7%), $62.62 million in FY2023 and $107.37 million in FY2022 (-36.6%).
- The five-year range for quarterly Enterprise Value is $51.65 million (fiscal Q3 2023) to $154.74 million (fiscal Q4 2025).
- Year-over-year, Enterprise Value has declined for three consecutive quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q1 2025 (growth of 67.0%), and the weakest in fiscal Q1 2023 (a decline of 55.9%).
- Business Quant data shows LAKE's Enterprise Value at $82.88 million (Q1 2027), $79.86 million (Q4 2026) and $144.09 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | Lakeland Industries | 94.99 Mn | 29.96 Mn | 18.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 95.07 Mn |
| Apr 30, 2026 | 82.88 Mn |
| Jan 31, 2026 | 79.86 Mn |
| Oct 31, 2025 | 144.09 Mn |
| Jul 31, 2025 | 115.11 Mn |
| Apr 30, 2025 | 136.75 Mn |
| Jan 31, 2025 | 154.74 Mn |
| Oct 31, 2024 | 121.83 Mn |
| Jul 31, 2024 | 149.68 Mn |
| Apr 30, 2024 | 93.74 Mn |
| Jan 31, 2024 | 105.26 Mn |
| Oct 31, 2023 | 81.17 Mn |
| Jul 31, 2023 | 89.63 Mn |
| Apr 30, 2023 | 62.62 Mn |
| Jan 31, 2023 | 81.43 Mn |
| Oct 31, 2022 | 51.65 Mn |
| Jul 31, 2022 | 79.33 Mn |
| Apr 30, 2022 | 73.26 Mn |
| Jan 31, 2022 | 107.37 Mn |
| Oct 31, 2021 | 107.05 Mn |
Lakeland Industries Enterprise Value 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=enterprise-value&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();