Lincoln Electric Holdings (LECO) Inventory (2009 - 2026)
Lincoln Electric Holdings' Inventory came in at $690.54 million for Q2 2026, up 11.1% from $621.44 million a year earlier but down 0.5% from the prior quarter.
Powered by 
Analysis
Lincoln Electric Holdings (LECO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Lincoln Electric Holdings' Inventory was $633.36 million, up 16.4% from FY2024.
- Inventory carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Inventory was $544.04 million in FY2024 (-3.3%), $562.86 million in FY2023 (-15.4%), $665.45 million in FY2022 (+23.3%) and $539.92 million in FY2021 (+41.6%).
- The five-year range for quarterly Inventory is $524.43 million (Q3 2021) to $693.94 million (Q1 2026).
- Year-over-year, Inventory has increased for six consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q1 2022 (growth of 44.2%), and the weakest in Q4 2023 (a decline of 15.4%).
- Business Quant data shows LECO's Inventory at $693.94 million (Q1 2026), $633.36 million (Q4 2025) and $671.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Lincoln Electric Holdings | 14.42 Bn | 13.28 Bn | 449.00 Mn | 690.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.54 Mn |
| Mar 31, 2026 | 693.94 Mn |
| Dec 31, 2025 | 633.36 Mn |
| Sep 30, 2025 | 671.52 Mn |
| Jun 30, 2025 | 621.44 Mn |
| Mar 31, 2025 | 574.33 Mn |
| Dec 31, 2024 | 544.04 Mn |
| Sep 30, 2024 | 612.41 Mn |
| Jun 30, 2024 | 582.73 Mn |
| Mar 31, 2024 | 567.28 Mn |
| Dec 31, 2023 | 562.86 Mn |
| Sep 30, 2023 | 612.34 Mn |
| Jun 30, 2023 | 674.75 Mn |
| Mar 31, 2023 | 664.60 Mn |
| Dec 31, 2022 | 665.45 Mn |
| Sep 30, 2022 | 632.38 Mn |
| Jun 30, 2022 | 639.39 Mn |
| Mar 31, 2022 | 599.78 Mn |
| Dec 31, 2021 | 539.92 Mn |
| Sep 30, 2021 | 524.43 Mn |
API Access
Lincoln Electric Holdings Inventory 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=inventory&ticker=LECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "LECO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=LECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();