Lakeland Industries (LAKE) Return on Sales [ROS] (2010 - 2026)
Lakeland Industries' Return on Sales [ROS] came in at -6.67% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.03 percentage points from -7.70% a year earlier but down 11.49 percentage points from the prior quarter.
Lakeland Industries (LAKE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Lakeland Industries reported Return on Sales [ROS] of -4.13%, down 1.13 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -8.05%, down 2.51 percentage points from FY2025.
- Return on Sales [ROS] has declined in each of the last five fiscal years, with a five-year change of -35.65 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -5.54% in FY2025 (-10.35 pp), 4.81% in FY2024 (-0.10 pp), 4.91% in FY2023 (-8.64 pp) and 13.55% in FY2022 (-14.05 pp).
- The five-year range for quarterly Return on Sales [ROS] is -11.38% (fiscal Q4 2026) to 14.07% (fiscal Q3 2022).
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2027 (a gain of 14.74 percentage points), and the weakest in fiscal Q4 2022 (a drop of 20.95 percentage points).
- Business Quant data shows LAKE's Return on Sales [ROS] at 4.83% (Q1 2027), -11.38% (Q4 2026) and -3.41% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 19.48% |
| 10 | Lakeland Industries | 95.04 Mn | 30.01 Mn | 18.54 Mn | -6.67% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -6.67% |
| Apr 30, 2026 | 4.83% |
| Jan 31, 2026 | -11.38% |
| Oct 31, 2025 | -3.41% |
| Jul 31, 2025 | -7.70% |
| Apr 30, 2025 | -9.91% |
| Oct 31, 2024 | 1.76% |
| Jul 31, 2024 | -4.13% |
| Apr 30, 2024 | 6.06% |
| Oct 31, 2023 | 11.42% |
| Jul 31, 2023 | 11.27% |
| Apr 30, 2023 | 6.75% |
| Oct 31, 2022 | 7.83% |
| Jul 31, 2022 | 6.37% |
| Apr 30, 2022 | 5.31% |
| Jan 31, 2022 | 4.19% |
| Oct 31, 2021 | 14.07% |
| Jul 31, 2021 | 14.80% |
| Apr 30, 2021 | 19.45% |
| Jan 31, 2021 | 25.14% |
Lakeland Industries Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();