Wabash National (WNC) Buildings (2011 - 2018)
Wabash National's Buildings was $141.1 million in Q4 2018, up 1.0% from $139.64 million a year earlier.
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Analysis
Wabash National (WNC) Buildings (2011 - 2018) Analysis & Trends
From Q4 2011 onward, Wabash National has reported Buildings for 8 quarters.
- Buildings shows a five-year compound annual growth rate of 4.7% (FY2013 to FY2018).
- In earlier years, Buildings was $139.64 million in FY2017 (+26.0%), $110.79 million in FY2016 (-3.0%), $114.22 million in FY2015 (-1.4%) and $115.86 million in FY2014 (+3.3%).
- The Q4 2018 figure marks the highest quarterly Buildings in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | Wabash National | 521.28 Mn | 282.76 Mn | 15.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 141.10 Mn |
| Dec 31, 2017 | 139.64 Mn |
| Dec 31, 2016 | 110.79 Mn |
| Dec 31, 2015 | 114.22 Mn |
| Dec 31, 2014 | 115.86 Mn |
| Dec 31, 2013 | 112.21 Mn |
| Dec 31, 2012 | 106.68 Mn |
| Dec 31, 2011 | 92.51 Mn |
API Access
Wabash National Buildings 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=buildings&ticker=WNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "WNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=WNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();