Lakeland Industries (LAKE) Total Liabilities (2011 - 2026)
Lakeland Industries (LAKE) reported Total Liabilities of $81.42 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.0% from $79.04 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Lakeland Industries (LAKE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Lakeland Industries posted Total Liabilities of $80.81 million, up 22.6% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 35.3% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $65.91 million in FY2025, $46.41 million in FY2024 (+86.0%), $24.96 million in FY2023 and $15.69 million in FY2022 (-11.8%).
- Five-year quarterly Total Liabilities spans a low of $15.69 million in fiscal Q4 2022 and a high of $86.23 million in fiscal Q3 2026.
- Year over year, Total Liabilities has now increased in each of the last three quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2025 (growth of 209.5%); the low point was fiscal Q4 2022 (a decline of 11.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $81.81 million (Q1 2027), $80.81 million (Q4 2026) and $86.23 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.07 Bn | 311.77 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 196.59 Bn | 191.17 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.45 Bn | 138.55 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.84 Bn | 150.03 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.94 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.53 Bn | 84.26 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 88.97 Bn | 70.41 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 82.02 Bn | 72.64 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.89 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Lakeland Industries | 92.70 Mn | 27.67 Mn | 18.54 Mn | 81.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 81.42 Mn |
| Apr 30, 2026 | 81.81 Mn |
| Jan 31, 2026 | 80.81 Mn |
| Oct 31, 2025 | 86.23 Mn |
| Jul 31, 2025 | 79.04 Mn |
| Apr 30, 2025 | 74.75 Mn |
| Jan 31, 2025 | 65.91 Mn |
| Oct 31, 2024 | 76.53 Mn |
| Jul 31, 2024 | 73.71 Mn |
| Apr 30, 2024 | 46.41 Mn |
| Jan 31, 2024 | 30.30 Mn |
| Oct 31, 2023 | 24.73 Mn |
| Jul 31, 2023 | 26.05 Mn |
| Apr 30, 2023 | 24.96 Mn |
| Jan 31, 2023 | 22.95 Mn |
| Oct 31, 2022 | 17.65 Mn |
| Jul 31, 2022 | 20.41 Mn |
| Apr 30, 2022 | 17.85 Mn |
| Jan 31, 2022 | 15.69 Mn |
| Oct 31, 2021 | 18.01 Mn |
API Access
Lakeland Industries Total 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-liabilities&ticker=LAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();