Lakeland Industries (LAKE) Total Current Liabilities (2011 - 2026)
Lakeland Industries (LAKE) posted Total Current Liabilities of $45.88 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.1% from $40.22 million a year earlier and up 3.3% from the prior quarter.
Lakeland Industries (LAKE) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Lakeland Industries' Total Current Liabilities came in at $37.96 million, up 8.8% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 18.6% (FY2021 to FY2026).
- In prior fiscal years, Lakeland Industries' Total Current Liabilities was $34.91 million in FY2025, $21.1 million in FY2024 (+2.7%), $20.53 million in FY2023 and $12.02 million in FY2022 (-25.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q2 2025, with growth of 91.1%; the weakest was fiscal Q4 2022, with a decline of 25.8%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $44.42 million (Q1 2027), $37.96 million (Q4 2026) and $37.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 11.87 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 7.24 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Lakeland Industries | 91.95 Mn | 26.93 Mn | 18.54 Mn | 45.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.88 Mn |
| Apr 30, 2026 | 44.42 Mn |
| Jan 31, 2026 | 37.96 Mn |
| Oct 31, 2025 | 37.45 Mn |
| Jul 31, 2025 | 40.22 Mn |
| Apr 30, 2025 | 36.27 Mn |
| Jan 31, 2025 | 34.91 Mn |
| Oct 31, 2024 | 29.64 Mn |
| Jul 31, 2024 | 30.34 Mn |
| Apr 30, 2024 | 21.10 Mn |
| Jan 31, 2024 | 18.35 Mn |
| Oct 31, 2023 | 15.51 Mn |
| Jul 31, 2023 | 18.64 Mn |
| Apr 30, 2023 | 20.53 Mn |
| Jan 31, 2023 | 18.60 Mn |
| Oct 31, 2022 | 12.74 Mn |
| Jul 31, 2022 | 15.23 Mn |
| Apr 30, 2022 | 14.40 Mn |
| Jan 31, 2022 | 12.02 Mn |
| Oct 31, 2021 | 13.87 Mn |
Lakeland Industries Total Current Liabilities 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=total-current-liabilities&ticker=LAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();