Lincoln Electric Holdings (LECO) Accumulated Expenses (2009 - 2015)
Lincoln Electric Holdings (LECO) posted Accumulated Expenses of $33.52 million for Q4 2015, up 11.3% from $30.13 million a year earlier.
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Analysis
Lincoln Electric Holdings (LECO) Accumulated Expenses (2009 - 2015) Analysis & Trends
Since Q4 2009, Lincoln Electric Holdings has reported Accumulated Expenses for 7 quarters.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 2.5% (FY2010 to FY2015).
- In prior years, Lincoln Electric Holdings' Accumulated Expenses was $30.13 million in FY2014 (+1.7%), $29.61 million in FY2013 (+0.7%), $29.42 million in FY2012 (-2.7%) and $30.24 million in FY2011 (+2.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Lincoln Electric Holdings | 14.42 Bn | 13.28 Bn | 449.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 33.52 Mn |
| Dec 31, 2014 | 30.13 Mn |
| Dec 31, 2013 | 29.61 Mn |
| Dec 31, 2012 | 29.42 Mn |
| Dec 31, 2011 | 30.24 Mn |
| Dec 31, 2010 | 29.65 Mn |
| Dec 31, 2009 | 28.94 Mn |
API Access
Lincoln Electric Holdings Accumulated Expenses 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=accumulated-expenses&ticker=LECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();