Lakeland Industries (LAKE) Operating Expenses (2010 - 2026)
Lakeland Industries' Operating Expenses came in at $20.64 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.0% from $19.28 million a year earlier and up 8.2% from the prior quarter.
Lakeland Industries (LAKE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Lakeland Industries reported Operating Expenses of $77.13 million, down 35.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $76.99 million, up 14.2% from FY2025.
- Operating Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $67.4 million in FY2025 (+49.1%), $45.2 million in FY2024 (+12.1%), $40.31 million in FY2023 (+15.6%) and $34.87 million in FY2022 (-1.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Expenses since fiscal Q2 2025.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2025 (growth of 58.2%), and the weakest in fiscal Q3 2022 (a decline of 7.1%).
- Business Quant data shows LAKE's Operating Expenses at $19.06 million (Q1 2027), $17.34 million (Q4 2026) and $20.09 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.65 Bn | 312.35 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 196.53 Bn | 191.11 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.38 Bn | 138.47 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 153.60 Bn | 150.79 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 121.45 Bn | 119.57 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.83 Bn | 84.57 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 89.08 Bn | 70.52 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 82.28 Bn | 72.90 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.39 Bn | 75.95 Bn | 1.90 Bn | - |
| 10 | Lakeland Industries | 93.05 Mn | 28.02 Mn | 18.54 Mn | 20.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.64 Mn |
| Apr 30, 2026 | 19.06 Mn |
| Jan 31, 2026 | 17.34 Mn |
| Oct 31, 2025 | 20.09 Mn |
| Jul 31, 2025 | 19.28 Mn |
| Apr 30, 2025 | 20.28 Mn |
| Oct 31, 2024 | 17.75 Mn |
| Jul 31, 2024 | 16.83 Mn |
| Apr 30, 2024 | 13.98 Mn |
| Oct 31, 2023 | 9.74 Mn |
| Jul 31, 2023 | 10.45 Mn |
| Apr 30, 2023 | 10.51 Mn |
| Oct 31, 2022 | 10.08 Mn |
| Jul 31, 2022 | 9.83 Mn |
| Apr 30, 2022 | 9.61 Mn |
| Jan 31, 2022 | 9.38 Mn |
| Oct 31, 2021 | 8.54 Mn |
| Jul 31, 2021 | 8.79 Mn |
| Apr 30, 2021 | 8.15 Mn |
| Jan 31, 2021 | 8.82 Mn |
Lakeland Industries Operating Expenses 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=operating-expenses&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();