Lakeland Industries (LAKE) Non-Current Assets (2011 - 2026)
Lakeland Industries' Non-Current Assets was $69.9 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 11.8% from $79.24 million a year earlier and down 7.0% from the prior quarter.
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Analysis
Lakeland Industries (LAKE) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Non-Current Assets at Lakeland Industries came in at $75.75 million, down 0.3% from FY2025.
- Non-Current Assets shows a five-year compound annual growth rate of 36.1% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $76 million in FY2025, $57.75 million in FY2024 (+55.4%), $37.15 million in FY2023 and $20.15 million in FY2022 (+24.3%).
- The fiscal Q2 2027 figure marks the lowest quarterly Non-Current Assets since fiscal Q1 2025.
- Compared with a year earlier, Non-Current Assets has declined for three straight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q2 2025 (growth of 71.4%); the worst was fiscal Q2 2027 (a decline of 11.8%).
- Per Business Quant data, LAKE's Non-Current Assets in the three fiscal quarters before Q2 2027 was $75.14 million (Q1 2027), $75.75 million (Q4 2026) and $77.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 32.55 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 20.81 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 9.89 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 5.92 Bn |
| 10 | Lakeland Industries | 94.99 Mn | 29.96 Mn | 18.54 Mn | 69.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 69.90 Mn |
| Apr 30, 2026 | 75.14 Mn |
| Jan 31, 2026 | 75.75 Mn |
| Oct 31, 2025 | 77.40 Mn |
| Jul 31, 2025 | 79.24 Mn |
| Apr 30, 2025 | 77.42 Mn |
| Jan 31, 2025 | 76.00 Mn |
| Oct 31, 2024 | 75.92 Mn |
| Jul 31, 2024 | 69.89 Mn |
| Apr 30, 2024 | 57.75 Mn |
| Jan 31, 2024 | 52.24 Mn |
| Oct 31, 2023 | 44.30 Mn |
| Jul 31, 2023 | 41.10 Mn |
| Apr 30, 2023 | 37.15 Mn |
| Jan 31, 2023 | 37.35 Mn |
| Oct 31, 2022 | 22.19 Mn |
| Jul 31, 2022 | 21.10 Mn |
| Apr 30, 2022 | 22.18 Mn |
| Jan 31, 2022 | 20.15 Mn |
| Oct 31, 2021 | 20.26 Mn |
API Access
Lakeland Industries Non-Current Assets 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=non-current-assets&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();