Lakeland Industries (LAKE) Cost of Revenue (2010 - 2026)
Lakeland Industries (LAKE) posted Cost of Revenue of $31.6 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.2% from $33.68 million a year earlier and down 2.9% from the prior quarter.
Lakeland Industries (LAKE) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Cost of Revenue at Lakeland Industries was $128.67 million, down 28.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $129.32 million, up 31.2% from FY2025.
- Annual Cost of Revenue has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- In prior fiscal years, Lakeland Industries' Cost of Revenue was $98.54 million in FY2025 (+34.1%), $73.5 million in FY2024 (+9.7%), $67 million in FY2023 (-0.7%) and $67.47 million in FY2022 (-15.4%).
- Quarterly Cost of Revenue has run from a low of $16.08 million in fiscal Q3 2023 to a high of $70.6 million in fiscal Q2 2025 over five years.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q2 2025, with growth of 32.1%; the weakest was fiscal Q1 2023, with a decline of 16.0%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $32.53 million (Q1 2027), $31.09 million (Q4 2026) and $33.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 2.22 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 3.82 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 2.40 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 2.04 Bn |
| 10 | Lakeland Industries | 94.99 Mn | 29.96 Mn | 18.54 Mn | 31.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.60 Mn |
| Apr 30, 2026 | 32.53 Mn |
| Jan 31, 2026 | 31.09 Mn |
| Oct 31, 2025 | 33.45 Mn |
| Jul 31, 2025 | 33.68 Mn |
| Apr 30, 2025 | 31.10 Mn |
| Oct 31, 2024 | 27.20 Mn |
| Jul 31, 2024 | 23.28 Mn |
| Apr 30, 2024 | 20.13 Mn |
| Oct 31, 2023 | 18.32 Mn |
| Jul 31, 2023 | 18.89 Mn |
| Apr 30, 2023 | 16.26 Mn |
| Oct 31, 2022 | 16.08 Mn |
| Jul 31, 2022 | 16.56 Mn |
| Apr 30, 2022 | 16.22 Mn |
| Jan 31, 2022 | 16.29 Mn |
| Oct 31, 2021 | 17.26 Mn |
| Jul 31, 2021 | 14.61 Mn |
| Apr 30, 2021 | 19.31 Mn |
| Jan 31, 2021 | 18.84 Mn |
Lakeland Industries Cost of Revenue 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=cost-of-revenue&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();