Lincoln Electric Holdings (LECO) Receivables (2009 - 2026)
Lincoln Electric Holdings (LECO) posted Receivables of $663.38 million for Q2 2026, up 1.7% from $652.6 million a year earlier but down 3.1% from the prior quarter.
Lincoln Electric Holdings (LECO) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Lincoln Electric Holdings' Receivables came in at $617 million, up 9.4% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In prior years, Lincoln Electric Holdings' Receivables was $563.76 million in FY2024 (-2.9%), $580.65 million in FY2023 (+0.7%), $576.78 million in FY2022 (+26.9%) and $454.37 million in FY2021 (+14.9%).
- Quarterly Receivables has run from a low of $454.37 million in Q4 2021 to a high of $684.89 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2022, with growth of 26.9%; the weakest was Q1 2024, with a decline of 4.4%.
- According to Business Quant data, Receivables for the three prior quarters was $684.89 million (Q1 2026), $617 million (Q4 2025) and $610.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Lincoln Electric Holdings | 14.42 Bn | 13.28 Bn | 449.00 Mn | 663.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.38 Mn |
| Mar 31, 2026 | 684.89 Mn |
| Dec 31, 2025 | 617.00 Mn |
| Sep 30, 2025 | 610.62 Mn |
| Jun 30, 2025 | 652.60 Mn |
| Mar 31, 2025 | 609.98 Mn |
| Dec 31, 2024 | 563.76 Mn |
| Sep 30, 2024 | 574.52 Mn |
| Jun 30, 2024 | 600.31 Mn |
| Mar 31, 2024 | 589.66 Mn |
| Dec 31, 2023 | 580.65 Mn |
| Sep 30, 2023 | 592.72 Mn |
| Jun 30, 2023 | 619.60 Mn |
| Mar 31, 2023 | 616.60 Mn |
| Dec 31, 2022 | 576.78 Mn |
| Sep 30, 2022 | 500.59 Mn |
| Jun 30, 2022 | 557.02 Mn |
| Mar 31, 2022 | 560.17 Mn |
| Dec 31, 2021 | 454.37 Mn |
| Sep 30, 2021 | 469.72 Mn |
Lincoln Electric Holdings Receivables 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=receivables&ticker=LECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();