Leggett & Platt (LEG) Finished Goods (2009 - 2018)
Leggett & Platt (LEG) posted Finished Goods of $331.6 million for Q4 2018, up 16.1% from $285.6 million a year earlier and up 0.8% from the prior quarter.
Analysis
Leggett & Platt (LEG) Finished Goods (2009 - 2018) Analysis & Trends
Since Q4 2009, Leggett & Platt has reported Finished Goods for 36 quarters.
- Annual Finished Goods has increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2013 to FY2018).
- In prior years, Leggett & Platt's Finished Goods was $285.6 million in FY2017 (+11.7%), $255.7 million in FY2016 (+5.3%), $242.8 million in FY2015 (-3.6%) and $251.9 million in FY2014 (-6.9%).
- Quarterly Finished Goods has run from a low of $240 million in Q3 2016 to a high of $332.2 million in Q2 2018 over five years.
- On a year-over-year basis, Finished Goods has increased in each of the last nine quarters, with growth averaging 13.6% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q3 2018, with growth of 23.4%; the weakest was Q4 2014, with a decline of 6.9%.
- According to Business Quant data, Finished Goods for the three prior quarters was $329.1 million (Q3 2018), $332.2 million (Q2 2018) and $307.3 million (Q1 2018).
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 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 331.60 Mn |
| Sep 30, 2018 | 329.10 Mn |
| Jun 30, 2018 | 332.20 Mn |
| Mar 31, 2018 | 307.30 Mn |
| Dec 31, 2017 | 285.60 Mn |
| Sep 30, 2017 | 266.80 Mn |
| Jun 30, 2017 | 284.00 Mn |
| Mar 31, 2017 | 274.70 Mn |
| Dec 31, 2016 | 255.70 Mn |
| Sep 30, 2016 | 240.00 Mn |
| Jun 30, 2016 | 258.80 Mn |
| Mar 31, 2016 | 255.50 Mn |
| Dec 31, 2015 | 242.80 Mn |
| Sep 30, 2015 | 252.80 Mn |
| Jun 30, 2015 | 264.80 Mn |
| Mar 31, 2015 | 257.10 Mn |
| Dec 31, 2014 | 251.90 Mn |
| Sep 30, 2014 | 246.60 Mn |
| Jun 30, 2014 | 278.90 Mn |
| Mar 31, 2014 | 271.80 Mn |
API Access
Leggett & Platt Finished Goods 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=finished-goods&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "LEG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();