Lincoln Electric Holdings (LECO) EBITDA (2009 - 2026)
Lincoln Electric Holdings (LECO) posted EBITDA of $246.61 million for Q2 2026, up 13.9% from $216.61 million a year earlier and up 16.2% from the prior quarter.
Lincoln Electric Holdings (LECO) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Lincoln Electric Holdings was $870.08 million, up 12.5% year-over-year; for FY2025, it was $816.61 million, up 12.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Lincoln Electric Holdings' EBITDA was $724.7 million in FY2024 (-9.9%), $804.52 million in FY2023 (+16.5%), $690.4 million in FY2022 (+27.2%) and $542.82 million in FY2021 (+49.7%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA has increased in each of the last six quarters, with growth averaging 6.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2022, with growth of 47.2%; the weakest was Q2 2024, with a decline of 15.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $212.17 million (Q1 2026), $209.9 million (Q4 2025) and $201.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Lincoln Electric Holdings | 14.42 Bn | 13.28 Bn | 449.00 Mn | 246.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.61 Mn |
| Mar 31, 2026 | 212.17 Mn |
| Dec 31, 2025 | 209.90 Mn |
| Sep 30, 2025 | 201.40 Mn |
| Jun 30, 2025 | 216.61 Mn |
| Mar 31, 2025 | 188.70 Mn |
| Dec 31, 2024 | 200.16 Mn |
| Sep 30, 2024 | 168.21 Mn |
| Jun 30, 2024 | 169.70 Mn |
| Mar 31, 2024 | 186.63 Mn |
| Dec 31, 2023 | 226.00 Mn |
| Sep 30, 2023 | 192.93 Mn |
| Jun 30, 2023 | 199.93 Mn |
| Mar 31, 2023 | 185.66 Mn |
| Dec 31, 2022 | 160.54 Mn |
| Sep 30, 2022 | 161.36 Mn |
| Jun 30, 2022 | 187.40 Mn |
| Mar 31, 2022 | 181.10 Mn |
| Dec 31, 2021 | 140.94 Mn |
| Sep 30, 2021 | 137.62 Mn |
Lincoln Electric Holdings EBITDA 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=ebitda&ticker=LECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();